2025-06-05T23:15:28.5843356Z Current runner version: '2.325.0'
2025-06-05T23:15:28.5850209Z Runner name: 'i-05d609fe6a7fbd23c'
2025-06-05T23:15:28.5851366Z Machine name: 'ip-10-0-32-99'
2025-06-05T23:15:28.5854148Z ##[group]GITHUB_TOKEN Permissions
2025-06-05T23:15:28.5856459Z Contents: read
2025-06-05T23:15:28.5857051Z Metadata: read
2025-06-05T23:15:28.5857731Z ##[endgroup]
2025-06-05T23:15:28.5859819Z Secret source: Actions
2025-06-05T23:15:28.5860510Z Prepare workflow directory
2025-06-05T23:15:28.6415172Z Prepare all required actions
2025-06-05T23:15:28.6460995Z Getting action download info
2025-06-05T23:15:28.8888608Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-06-05T23:15:29.0968131Z Download action repository 'pytorch/pytorch@9c1bc9ce4684de96db025292610c0664d3d55345' (SHA:9c1bc9ce4684de96db025292610c0664d3d55345)
2025-06-05T23:15:36.4303522Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-06-05T23:15:36.7417462Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-06-05T23:15:36.9062107Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-06-05T23:15:37.2736248Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-06-05T23:15:37.5173601Z Getting action download info
2025-06-05T23:15:37.6737951Z Download action repository 'pytorch/pytorch@main' (SHA:fa705f791249c5eee912096f1d7ac7b2d5b60e8c)
2025-06-05T23:15:50.7727869Z Complete job name: test-binary-size-linux-gcc / linux-job
2025-06-05T23:15:50.8241971Z A job started hook has been configured by the self-hosted runner administrator
2025-06-05T23:15:50.8346954Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-06-05T23:15:50.8356607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:15:50.8357271Z ##[endgroup]
2025-06-05T23:15:52.1517522Z Runner Type: linux.2xlarge
2025-06-05T23:15:52.1518029Z Instance Type: c5.2xlarge
2025-06-05T23:15:52.1518314Z AMI Name: unknown
2025-06-05T23:15:52.1541692Z AMI ID: ami-071226ecf16aa7d96
2025-06-05T23:15:57.5910221Z ##[group]Run set -euxo pipefail
2025-06-05T23:15:57.5910627Z set -euxo pipefail
2025-06-05T23:15:57.5911030Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-06-05T23:15:57.5911431Z   echo "::group::Cleanup with-sudo debug output"
2025-06-05T23:15:57.5911810Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-06-05T23:15:57.5912125Z else
2025-06-05T23:15:57.5912390Z   echo "::group::Cleanup no-sudo debug output"
2025-06-05T23:15:57.5912753Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-06-05T23:15:57.5913036Z fi
2025-06-05T23:15:57.5913242Z 
2025-06-05T23:15:57.5913475Z mkdir -p "${GITHUB_WORKSPACE}"
2025-06-05T23:15:57.5913805Z echo "::endgroup::"
2025-06-05T23:15:57.5923342Z shell: /usr/bin/bash -e {0}
2025-06-05T23:15:57.5923636Z env:
2025-06-05T23:15:57.5923901Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:15:57.5924290Z   REPOSITORY: pytorch/executorch
2025-06-05T23:15:57.5924621Z   PR_NUMBER: 
2025-06-05T23:15:57.5927044Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:15:57.5929728Z   NO_SUDO: false
2025-06-05T23:15:57.5929944Z ##[endgroup]
2025-06-05T23:15:57.5958690Z + [[ false == \f\a\l\s\e ]]
2025-06-05T23:15:57.5972386Z ##[group]Cleanup with-sudo debug output
2025-06-05T23:15:57.5975478Z + echo '::group::Cleanup with-sudo debug output'
2025-06-05T23:15:57.5976010Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
2025-06-05T23:15:57.7317119Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-06-05T23:15:57.7331770Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch
2025-06-05T23:15:57.7343526Z + echo ::endgroup::
2025-06-05T23:15:57.7344475Z ##[endgroup]
2025-06-05T23:15:57.7452907Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-06-05T23:15:57.7453373Z with:
2025-06-05T23:15:57.7453623Z   repository: pytorch/test-infra
2025-06-05T23:15:57.7453927Z   path: test-infra
2025-06-05T23:15:57.7454161Z   submodules: recursive
2025-06-05T23:15:57.7454738Z   token: ***
2025-06-05T23:15:57.7454969Z   ssh-strict: true
2025-06-05T23:15:57.7455193Z   ssh-user: git
2025-06-05T23:15:57.7455440Z   persist-credentials: true
2025-06-05T23:15:57.7455704Z   clean: true
2025-06-05T23:15:57.7455957Z   sparse-checkout-cone-mode: true
2025-06-05T23:15:57.7456260Z   fetch-depth: 1
2025-06-05T23:15:57.7456485Z   fetch-tags: false
2025-06-05T23:15:57.7456731Z   show-progress: true
2025-06-05T23:15:57.7456965Z   lfs: false
2025-06-05T23:15:57.7457202Z   set-safe-directory: true
2025-06-05T23:15:57.7457450Z env:
2025-06-05T23:15:57.7457698Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:15:57.7458031Z   REPOSITORY: pytorch/executorch
2025-06-05T23:15:57.7458362Z   PR_NUMBER: 
2025-06-05T23:15:57.7460765Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:15:57.7463266Z ##[endgroup]
2025-06-05T23:15:57.8559016Z Syncing repository: pytorch/test-infra
2025-06-05T23:15:57.8559728Z ##[group]Getting Git version info
2025-06-05T23:15:57.8560264Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-06-05T23:15:57.8560992Z [command]/usr/bin/git version
2025-06-05T23:15:57.8561259Z git version 2.47.1
2025-06-05T23:15:57.8569322Z ##[endgroup]
2025-06-05T23:15:57.8580587Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5e027322-2011-4386-a64c-0b3d358dd7fd' before making global git config changes
2025-06-05T23:15:57.8581578Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:15:57.8585286Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:15:57.8610976Z ##[group]Initializing the repository
2025-06-05T23:15:57.8615090Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:15:57.8642343Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-06-05T23:15:57.8642936Z hint: is subject to change. To configure the initial branch name to use in all
2025-06-05T23:15:57.8643568Z hint: of your new repositories, which will suppress this warning, call:
2025-06-05T23:15:57.8643981Z hint:
2025-06-05T23:15:57.8644258Z hint: 	git config --global init.defaultBranch <name>
2025-06-05T23:15:57.8644607Z hint:
2025-06-05T23:15:57.8644916Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-06-05T23:15:57.8645700Z hint: 'development'. The just-created branch can be renamed via this command:
2025-06-05T23:15:57.8646131Z hint:
2025-06-05T23:15:57.8646342Z hint: 	git branch -m <name>
2025-06-05T23:15:57.8646954Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-06-05T23:15:57.8651285Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-06-05T23:15:57.8674526Z ##[endgroup]
2025-06-05T23:15:57.8675078Z ##[group]Disabling automatic garbage collection
2025-06-05T23:15:57.8678559Z [command]/usr/bin/git config --local gc.auto 0
2025-06-05T23:15:57.8700447Z ##[endgroup]
2025-06-05T23:15:57.8701035Z ##[group]Setting up auth
2025-06-05T23:15:57.8705984Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:15:57.8729120Z [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' || :"
2025-06-05T23:15:57.8988488Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:15:57.9010997Z [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' || :"
2025-06-05T23:15:57.9248833Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:15:57.9286370Z ##[endgroup]
2025-06-05T23:15:57.9286840Z ##[group]Determining the default branch
2025-06-05T23:15:57.9289360Z Retrieving the default branch name
2025-06-05T23:15:58.1501224Z Default branch 'main'
2025-06-05T23:15:58.1501867Z ##[endgroup]
2025-06-05T23:15:58.1502283Z ##[group]Fetching the repository
2025-06-05T23:15:58.1507683Z [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
2025-06-05T23:15:58.4796138Z From https://github.com/pytorch/test-infra
2025-06-05T23:15:58.4796597Z  * [new branch]      main       -> origin/main
2025-06-05T23:15:58.4814909Z ##[endgroup]
2025-06-05T23:15:58.4816633Z ##[group]Determining the checkout info
2025-06-05T23:15:58.4817093Z ##[endgroup]
2025-06-05T23:15:58.4821395Z [command]/usr/bin/git sparse-checkout disable
2025-06-05T23:15:58.4851899Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-06-05T23:15:58.4875678Z ##[group]Checking out the ref
2025-06-05T23:15:58.4878557Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-06-05T23:15:58.5701087Z Switched to a new branch 'main'
2025-06-05T23:15:58.5702379Z branch 'main' set up to track 'origin/main'.
2025-06-05T23:15:58.5708851Z ##[endgroup]
2025-06-05T23:15:58.5709304Z ##[group]Setting up auth for fetching submodules
2025-06-05T23:15:58.5713754Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:15:58.5747885Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-06-05T23:15:58.5773070Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-06-05T23:15:58.5796985Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-06-05T23:15:58.5817708Z ##[endgroup]
2025-06-05T23:15:58.5818086Z ##[group]Fetching submodules
2025-06-05T23:15:58.5821010Z [command]/usr/bin/git submodule sync --recursive
2025-06-05T23:15:58.6067095Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-06-05T23:15:58.6309877Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-06-05T23:15:58.6546597Z ##[endgroup]
2025-06-05T23:15:58.6547040Z ##[group]Persisting credentials for submodules
2025-06-05T23:15:58.6551421Z [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' || :"
2025-06-05T23:15:58.6790388Z [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"
2025-06-05T23:15:58.7030952Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-06-05T23:15:58.7271360Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-06-05T23:15:58.7510450Z ##[endgroup]
2025-06-05T23:15:58.7538786Z [command]/usr/bin/git log -1 --format=%H
2025-06-05T23:15:58.7557411Z 714db9db22f90727b389d5ecb5a2dc16cd27d00c
2025-06-05T23:15:58.7721113Z Prepare all required actions
2025-06-05T23:15:58.7721654Z Getting action download info
2025-06-05T23:15:58.8579975Z Download action repository 'pytorch/test-infra@main' (SHA:714db9db22f90727b389d5ecb5a2dc16cd27d00c)
2025-06-05T23:16:00.3033552Z Getting action download info
2025-06-05T23:16:00.4333974Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-06-05T23:16:00.5825912Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-06-05T23:16:00.5826269Z env:
2025-06-05T23:16:00.5826505Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:00.5826848Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:00.5827111Z   PR_NUMBER: 
2025-06-05T23:16:00.5829621Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:00.5832046Z ##[endgroup]
2025-06-05T23:16:00.5914355Z ##[group]Run set -euo pipefail
2025-06-05T23:16:00.5914686Z set -euo pipefail
2025-06-05T23:16:00.5914975Z function get_ec2_metadata() {
2025-06-05T23:16:00.5915332Z   # Pulled from instance metadata endpoint for EC2
2025-06-05T23:16:00.5915963Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-06-05T23:16:00.5916503Z   category=$1
2025-06-05T23:16:00.5917384Z   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}"
2025-06-05T23:16:00.5918286Z }
2025-06-05T23:16:00.5918528Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-06-05T23:16:00.5918944Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-06-05T23:16:00.5919397Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-06-05T23:16:00.5919799Z echo "system info $(uname -a)"
2025-06-05T23:16:00.5925560Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:00.5925967Z env:
2025-06-05T23:16:00.5926198Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:00.5926537Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:00.5926797Z   PR_NUMBER: 
2025-06-05T23:16:00.5929145Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:00.5931731Z ##[endgroup]
2025-06-05T23:16:00.6055547Z ami-id: ami-071226ecf16aa7d96
2025-06-05T23:16:00.6140505Z instance-id: i-05d609fe6a7fbd23c
2025-06-05T23:16:00.6223940Z instance-type: c5.2xlarge
2025-06-05T23:16:00.6233457Z system info Linux ip-10-0-32-99.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
2025-06-05T23:16:00.6268615Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:16:00.6269551Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:16:00.6275204Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:00.6275568Z env:
2025-06-05T23:16:00.6275797Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:00.6276131Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:00.6276390Z   PR_NUMBER: 
2025-06-05T23:16:00.6278761Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:00.6281169Z ##[endgroup]
2025-06-05T23:16:00.6351476Z ##[group]Run if systemctl is-active --quiet docker; then
2025-06-05T23:16:00.6351922Z if systemctl is-active --quiet docker; then
2025-06-05T23:16:00.6352291Z     echo "Docker daemon is running...";
2025-06-05T23:16:00.6352615Z else
2025-06-05T23:16:00.6352948Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-06-05T23:16:00.6353362Z fi
2025-06-05T23:16:00.6358516Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:00.6358894Z env:
2025-06-05T23:16:00.6359146Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:00.6359478Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:00.6359756Z   PR_NUMBER: 
2025-06-05T23:16:00.6362135Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:00.6364794Z ##[endgroup]
2025-06-05T23:16:00.6432240Z Docker daemon is running...
2025-06-05T23:16:00.6459407Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-06-05T23:16:00.6460030Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-06-05T23:16:00.6460540Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-06-05T23:16:00.6461245Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-06-05T23:16:00.6461960Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-06-05T23:16:00.6467557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:00.6467922Z env:
2025-06-05T23:16:00.6468156Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:00.6468498Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:00.6468760Z   PR_NUMBER: 
2025-06-05T23:16:00.6471240Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:00.6473676Z   AWS_RETRY_MODE: standard
2025-06-05T23:16:00.6473969Z   AWS_MAX_ATTEMPTS: 5
2025-06-05T23:16:00.6474262Z   AWS_DEFAULT_REGION: us-east-1
2025-06-05T23:16:00.6474531Z ##[endgroup]
2025-06-05T23:16:01.6883768Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:16:01.6884387Z Configure a credential helper to remove this warning. See
2025-06-05T23:16:01.6885410Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:16:01.6885808Z 
2025-06-05T23:16:01.6885904Z Login Succeeded
2025-06-05T23:16:01.7073471Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:01.7074101Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:01.7074613Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-06-05T23:16:01.7081169Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:01.7081532Z env:
2025-06-05T23:16:01.7081786Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:01.7082121Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:01.7082400Z   PR_NUMBER: 
2025-06-05T23:16:01.7084758Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:01.7087190Z ##[endgroup]
2025-06-05T23:16:01.7172561Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-06-05T23:16:01.7173039Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-06-05T23:16:01.7173433Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-06-05T23:16:01.7173773Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-06-05T23:16:01.7174215Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:01.7174627Z 
2025-06-05T23:16:01.7174925Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-06-05T23:16:01.7175330Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-06-05T23:16:01.7175691Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-06-05T23:16:01.7176184Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:01.7176842Z 
2025-06-05T23:16:01.7177079Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-06-05T23:16:01.7177404Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-06-05T23:16:01.7177720Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-06-05T23:16:01.7178101Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-06-05T23:16:01.7183829Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:01.7184199Z env:
2025-06-05T23:16:01.7184432Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:01.7184774Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:01.7185038Z   PR_NUMBER: 
2025-06-05T23:16:01.7187618Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:01.7190055Z ##[endgroup]
2025-06-05T23:16:02.1767941Z ##[group]Run needs=0
2025-06-05T23:16:02.1768208Z needs=0
2025-06-05T23:16:02.1768563Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-06-05T23:16:02.1768986Z   needs=1
2025-06-05T23:16:02.1769195Z fi
2025-06-05T23:16:02.1769439Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-06-05T23:16:02.1775726Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:02.1776107Z env:
2025-06-05T23:16:02.1776344Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:02.1776704Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:02.1776992Z   PR_NUMBER: 
2025-06-05T23:16:02.1779330Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:02.1781889Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:02.1782466Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:02.1782994Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:02.1783373Z ##[endgroup]
2025-06-05T23:16:02.2034724Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:16:02.2035307Z # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:16:02.2035710Z # shellcheck disable=SC2046
2025-06-05T23:16:02.2036035Z docker stop $(docker ps -q) || true
2025-06-05T23:16:02.2036373Z # Prune all of the docker images
2025-06-05T23:16:02.2036676Z docker system prune -af
2025-06-05T23:16:02.2042922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:02.2043276Z env:
2025-06-05T23:16:02.2043521Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:02.2043855Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:02.2044140Z   PR_NUMBER: 
2025-06-05T23:16:02.2046498Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:02.2049245Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:02.2049809Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:02.2050345Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:02.2050711Z ##[endgroup]
2025-06-05T23:16:02.2276554Z "docker stop" requires at least 1 argument.
2025-06-05T23:16:02.2277291Z See 'docker stop --help'.
2025-06-05T23:16:02.2277486Z 
2025-06-05T23:16:02.2277646Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-06-05T23:16:02.2277926Z 
2025-06-05T23:16:02.2278035Z Stop one or more running containers
2025-06-05T23:16:02.2442616Z Total reclaimed space: 0B
2025-06-05T23:16:02.2516247Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-06-05T23:16:02.2516625Z with:
2025-06-05T23:16:02.2517346Z   github-secret: ***
2025-06-05T23:16:02.2518028Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-06-05T23:16:02.2518779Z   activate-with-label: false
2025-06-05T23:16:02.2519036Z   label: with-ssh
2025-06-05T23:16:02.2519272Z   remove-existing-keys: true
2025-06-05T23:16:02.2519525Z   fail-silently: true
2025-06-05T23:16:02.2519751Z env:
2025-06-05T23:16:02.2519973Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:02.2520306Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:02.2520577Z   PR_NUMBER: 
2025-06-05T23:16:02.2550573Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:02.2553428Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:02.2554003Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:02.2554541Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:02.2554936Z ##[endgroup]
2025-06-05T23:16:02.3631862Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-06-05T23:16:02.3633097Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-06-05T23:16:02.3760608Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-06-05T23:16:02.3761016Z with:
2025-06-05T23:16:02.3761248Z   repository: pytorch/executorch
2025-06-05T23:16:02.3761550Z   ref: bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:02.3761878Z   path: pytorch/executorch
2025-06-05T23:16:02.3762138Z   fetch-depth: 1
2025-06-05T23:16:02.3762353Z   submodules: recursive
2025-06-05T23:16:02.3762768Z   token: ***
2025-06-05T23:16:02.3762965Z   ssh-strict: true
2025-06-05T23:16:02.3763184Z   ssh-user: git
2025-06-05T23:16:02.3763403Z   persist-credentials: true
2025-06-05T23:16:02.3763662Z   clean: true
2025-06-05T23:16:02.3764105Z   sparse-checkout-cone-mode: true
2025-06-05T23:16:02.3764558Z   fetch-tags: false
2025-06-05T23:16:02.3764789Z   show-progress: true
2025-06-05T23:16:02.3765015Z   lfs: false
2025-06-05T23:16:02.3765238Z   set-safe-directory: true
2025-06-05T23:16:02.3765477Z env:
2025-06-05T23:16:02.3765758Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:02.3766079Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:02.3766353Z   PR_NUMBER: 
2025-06-05T23:16:02.3768712Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:02.3771265Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:02.3771839Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:02.3772378Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:02.3772744Z ##[endgroup]
2025-06-05T23:16:02.4721211Z Syncing repository: pytorch/executorch
2025-06-05T23:16:02.4728975Z ##[group]Getting Git version info
2025-06-05T23:16:02.4729822Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-06-05T23:16:02.4755109Z [command]/usr/bin/git version
2025-06-05T23:16:02.4788659Z git version 2.47.1
2025-06-05T23:16:02.4812004Z ##[endgroup]
2025-06-05T23:16:02.4823256Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b23446f7-6071-4c46-a900-86ee7ebe5202' before making global git config changes
2025-06-05T23:16:02.4824225Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:16:02.4828434Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-06-05T23:16:02.4854690Z ##[group]Initializing the repository
2025-06-05T23:16:02.4858932Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-06-05T23:16:02.4886524Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-06-05T23:16:02.4887126Z hint: is subject to change. To configure the initial branch name to use in all
2025-06-05T23:16:02.4887692Z hint: of your new repositories, which will suppress this warning, call:
2025-06-05T23:16:02.4888090Z hint:
2025-06-05T23:16:02.4888373Z hint: 	git config --global init.defaultBranch <name>
2025-06-05T23:16:02.4888704Z hint:
2025-06-05T23:16:02.4889028Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-06-05T23:16:02.4889592Z hint: 'development'. The just-created branch can be renamed via this command:
2025-06-05T23:16:02.4890020Z hint:
2025-06-05T23:16:02.4890222Z hint: 	git branch -m <name>
2025-06-05T23:16:02.4891038Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-06-05T23:16:02.4896439Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-06-05T23:16:02.4920418Z ##[endgroup]
2025-06-05T23:16:02.4920882Z ##[group]Disabling automatic garbage collection
2025-06-05T23:16:02.4924313Z [command]/usr/bin/git config --local gc.auto 0
2025-06-05T23:16:02.4947605Z ##[endgroup]
2025-06-05T23:16:02.4947992Z ##[group]Setting up auth
2025-06-05T23:16:02.4953117Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:16:02.4976804Z [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' || :"
2025-06-05T23:16:02.5232191Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:16:02.5257453Z [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' || :"
2025-06-05T23:16:02.5514643Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:02.5554929Z ##[endgroup]
2025-06-05T23:16:02.5555610Z ##[group]Fetching the repository
2025-06-05T23:16:02.5563950Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:04.0098351Z From https://github.com/pytorch/executorch
2025-06-05T23:16:04.0099060Z  * branch            bd572346e4f196b36aaa03a1645d12b1618fe88b -> FETCH_HEAD
2025-06-05T23:16:04.0116935Z ##[endgroup]
2025-06-05T23:16:04.0117427Z ##[group]Determining the checkout info
2025-06-05T23:16:04.0118899Z ##[endgroup]
2025-06-05T23:16:04.0123198Z [command]/usr/bin/git sparse-checkout disable
2025-06-05T23:16:04.0160743Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-06-05T23:16:04.0183377Z ##[group]Checking out the ref
2025-06-05T23:16:04.0186268Z [command]/usr/bin/git checkout --progress --force bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:04.5021384Z Note: switching to 'bd572346e4f196b36aaa03a1645d12b1618fe88b'.
2025-06-05T23:16:04.5021754Z 
2025-06-05T23:16:04.5022051Z You are in 'detached HEAD' state. You can look around, make experimental
2025-06-05T23:16:04.5022775Z changes and commit them, and you can discard any commits you make in this
2025-06-05T23:16:04.5023454Z state without impacting any branches by switching back to a branch.
2025-06-05T23:16:04.5023797Z 
2025-06-05T23:16:04.5024029Z If you want to create a new branch to retain commits you create, you may
2025-06-05T23:16:04.5024707Z do so (now or later) by using -c with the switch command. Example:
2025-06-05T23:16:04.5025036Z 
2025-06-05T23:16:04.5025177Z   git switch -c <new-branch-name>
2025-06-05T23:16:04.5025468Z 
2025-06-05T23:16:04.5025619Z Or undo this operation with:
2025-06-05T23:16:04.5025824Z 
2025-06-05T23:16:04.5026001Z   git switch -
2025-06-05T23:16:04.5026172Z 
2025-06-05T23:16:04.5026435Z Turn off this advice by setting config variable advice.detachedHead to false
2025-06-05T23:16:04.5026801Z 
2025-06-05T23:16:04.5027127Z HEAD is now at bd57234 Qualcomm AI Engine Direct - QAIRT Visualizer Engagement (#10873)
2025-06-05T23:16:04.5048842Z ##[endgroup]
2025-06-05T23:16:04.5049373Z ##[group]Setting up auth for fetching submodules
2025-06-05T23:16:04.5054033Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-06-05T23:16:04.5089636Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-06-05T23:16:04.5112011Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-06-05T23:16:04.5137133Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-06-05T23:16:04.5156653Z ##[endgroup]
2025-06-05T23:16:04.5157244Z ##[group]Fetching submodules
2025-06-05T23:16:04.5159393Z [command]/usr/bin/git submodule sync --recursive
2025-06-05T23:16:04.5409189Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-06-05T23:16:04.5652839Z 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'
2025-06-05T23:16:04.5654902Z 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'
2025-06-05T23:16:04.5656960Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-06-05T23:16:04.5658690Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:04.5661263Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:04.5663505Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-06-05T23:16:04.5666644Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:04.5669365Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:04.5672257Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:04.5675073Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:04.5678170Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:04.5681100Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-06-05T23:16:04.5684294Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:04.5687309Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-06-05T23:16:04.5691471Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-06-05T23:16:04.5695133Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-06-05T23:16:04.5699937Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-06-05T23:16:04.5703653Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-06-05T23:16:04.5707518Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-06-05T23:16:04.5711256Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-06-05T23:16:04.5715251Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json'
2025-06-05T23:16:04.5719396Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-06-05T23:16:04.5723506Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-06-05T23:16:04.5727502Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-06-05T23:16:04.5752423Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-06-05T23:16:05.3979941Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-06-05T23:16:06.0626672Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-06-05T23:16:06.3894184Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-06-05T23:16:06.8526538Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-06-05T23:16:07.0892694Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-06-05T23:16:07.3675656Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-06-05T23:16:07.5631220Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-06-05T23:16:07.8031120Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-06-05T23:16:08.4555378Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-06-05T23:16:08.8164064Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-06-05T23:16:09.0409235Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-06-05T23:16:09.3535148Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-06-05T23:16:10.0011289Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-06-05T23:16:10.2337739Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-06-05T23:16:10.6489435Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-06-05T23:16:10.9676241Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-06-05T23:16:11.2750042Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-06-05T23:16:11.5126111Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-06-05T23:16:11.7746591Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-06-05T23:16:11.9903119Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/json'...
2025-06-05T23:16:12.3522903Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-06-05T23:16:12.5938983Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-06-05T23:16:12.9428455Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-06-05T23:16:14.5444033Z From https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver
2025-06-05T23:16:14.5444896Z  * branch            7bf44c54527e718b99d588ce520cf2f96343adb1 -> FETCH_HEAD
2025-06-05T23:16:14.5563981Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '7bf44c54527e718b99d588ce520cf2f96343adb1'
2025-06-05T23:16:15.9115789Z From https://git.gitlab.arm.com/tosa/tosa-serialization
2025-06-05T23:16:15.9116320Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-06-05T23:16:15.9219904Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-06-05T23:16:15.9234085Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:15.9257372Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers'...
2025-06-05T23:16:17.2019121Z From https://github.com/google/flatbuffers
2025-06-05T23:16:17.2019663Z  * branch            0100f6a5779831fa7a651e4b67ef389a8752bd9b -> FETCH_HEAD
2025-06-05T23:16:17.3029500Z Submodule path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers': checked out '0100f6a5779831fa7a651e4b67ef389a8752bd9b'
2025-06-05T23:16:17.8314936Z From https://github.com/pytorch-labs/FACTO
2025-06-05T23:16:17.8315448Z  * branch            1db37fc79d0d59638cbb794fa49d878aafc24461 -> FETCH_HEAD
2025-06-05T23:16:17.8390233Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-06-05T23:16:18.5216687Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-06-05T23:16:18.5217214Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-06-05T23:16:18.5704207Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-06-05T23:16:19.3657449Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-06-05T23:16:19.3658071Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-06-05T23:16:19.3964597Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-06-05T23:16:19.9474887Z From https://github.com/zeux/volk
2025-06-05T23:16:19.9475346Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-06-05T23:16:19.9539891Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-06-05T23:16:20.5060675Z From https://github.com/Maratyszcza/FP16
2025-06-05T23:16:20.5061164Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-06-05T23:16:20.5141913Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-06-05T23:16:20.9290314Z From https://github.com/Maratyszcza/FXdiv
2025-06-05T23:16:20.9290793Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-06-05T23:16:20.9341878Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-06-05T23:16:22.4378841Z From https://github.com/google/XNNPACK
2025-06-05T23:16:22.4379327Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-06-05T23:16:23.0174540Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-06-05T23:16:23.6020366Z From https://github.com/pytorch/cpuinfo
2025-06-05T23:16:23.6020877Z  * branch            c61fe919607bbc534d7a5a5707bdd7041e72c5ff -> FETCH_HEAD
2025-06-05T23:16:23.6832938Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out 'c61fe919607bbc534d7a5a5707bdd7041e72c5ff'
2025-06-05T23:16:24.2390663Z From https://github.com/Maratyszcza/pthreadpool
2025-06-05T23:16:24.2391215Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-06-05T23:16:24.2468970Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-06-05T23:16:24.7957684Z From https://github.com/pytorch-labs/tokenizers
2025-06-05T23:16:24.7958393Z  * branch            fc5962cd9e08019c5df6667eba3377e7d76441f7 -> FETCH_HEAD
2025-06-05T23:16:24.8194368Z Submodule path 'extension/llm/tokenizers': checked out 'fc5962cd9e08019c5df6667eba3377e7d76441f7'
2025-06-05T23:16:24.8209207Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:24.8211686Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:24.8214692Z Submodule 'third-party/pcre2' (https://github.com/PCRE2Project/pcre2.git) registered for path 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:24.8217965Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:24.8221016Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:24.8245593Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'...
2025-06-05T23:16:25.1596850Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/json'...
2025-06-05T23:16:25.5268902Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2'...
2025-06-05T23:16:25.8719522Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/re2'...
2025-06-05T23:16:26.1384497Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'...
2025-06-05T23:16:27.5120823Z From https://github.com/abseil/abseil-cpp
2025-06-05T23:16:27.5121333Z  * branch            7d96b2e93d9a84530748b68abd2f97595c51ecf4 -> FETCH_HEAD
2025-06-05T23:16:27.6071915Z Submodule path 'extension/llm/tokenizers/third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4'
2025-06-05T23:16:28.3095243Z From https://github.com/nlohmann/json
2025-06-05T23:16:28.3095886Z  * branch            e6cafa573aac6ed9227f752a5371c0b3f436307d -> FETCH_HEAD
2025-06-05T23:16:28.4028790Z Submodule path 'extension/llm/tokenizers/third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d'
2025-06-05T23:16:29.1247519Z From https://github.com/PCRE2Project/pcre2
2025-06-05T23:16:29.1248029Z  * branch            2e03e323339ab692640626f02f8d8d6f95bff9c6 -> FETCH_HEAD
2025-06-05T23:16:29.1953160Z Submodule path 'extension/llm/tokenizers/third-party/pcre2': checked out '2e03e323339ab692640626f02f8d8d6f95bff9c6'
2025-06-05T23:16:29.1968957Z Submodule 'deps/sljit' (https://github.com/zherczeg/sljit.git) registered for path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:29.1994811Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2/deps/sljit'...
2025-06-05T23:16:29.9463144Z From https://github.com/zherczeg/sljit
2025-06-05T23:16:29.9463638Z  * branch            98802d939be3f0ccc2c538d611ec4c728564e8cf -> FETCH_HEAD
2025-06-05T23:16:29.9650561Z Submodule path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit': checked out '98802d939be3f0ccc2c538d611ec4c728564e8cf'
2025-06-05T23:16:30.4839128Z From https://github.com/google/re2
2025-06-05T23:16:30.4839643Z  * branch            6dcd83d60f7944926bfd308cc13979fc53dd69ca -> FETCH_HEAD
2025-06-05T23:16:30.4998728Z Submodule path 'extension/llm/tokenizers/third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca'
2025-06-05T23:16:31.0850715Z From https://github.com/google/sentencepiece
2025-06-05T23:16:31.0851417Z  * branch            d8f741853847553169444afc12c00f4bbff3e9ce -> FETCH_HEAD
2025-06-05T23:16:31.2116416Z Submodule path 'extension/llm/tokenizers/third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce'
2025-06-05T23:16:32.7569833Z From https://gitlab.com/libeigen/eigen
2025-06-05T23:16:32.7570320Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-06-05T23:16:32.8796648Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-06-05T23:16:33.4391758Z From https://github.com/facebook/buck2-shims-meta
2025-06-05T23:16:33.4392289Z  * branch            cf6a954aae4bee7b4515e13475878460115027d1 -> FETCH_HEAD
2025-06-05T23:16:33.4589173Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-06-05T23:16:34.0931638Z From https://github.com/pytorch/ao
2025-06-05T23:16:34.0932141Z  * branch            bc68b11f1bf77be38721ca7dd2c477aeb5e6626e -> FETCH_HEAD
2025-06-05T23:16:34.1839641Z Submodule path 'third-party/ao': checked out 'bc68b11f1bf77be38721ca7dd2c477aeb5e6626e'
2025-06-05T23:16:34.1856220Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:34.1880651Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao/third_party/cutlass'...
2025-06-05T23:16:36.1023276Z From https://github.com/NVIDIA/cutlass
2025-06-05T23:16:36.1023782Z  * branch            ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e -> FETCH_HEAD
2025-06-05T23:16:36.6579066Z Submodule path 'third-party/ao/third_party/cutlass': checked out 'ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e'
2025-06-05T23:16:37.3424526Z From https://github.com/google/flatbuffers
2025-06-05T23:16:37.3425087Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-06-05T23:16:37.4428230Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-06-05T23:16:37.9720393Z From https://github.com/dvidelabs/flatcc
2025-06-05T23:16:37.9720892Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-06-05T23:16:37.9954890Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-06-05T23:16:38.4644425Z From https://github.com/gflags/gflags
2025-06-05T23:16:38.4644934Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-06-05T23:16:38.4729810Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-06-05T23:16:39.1961890Z From https://github.com/google/googletest
2025-06-05T23:16:39.1962387Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-06-05T23:16:39.2300208Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-06-05T23:16:39.8091215Z From https://github.com/leetal/ios-cmake
2025-06-05T23:16:39.8091685Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-06-05T23:16:39.8187186Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-06-05T23:16:40.3900070Z From https://github.com/nlohmann/json
2025-06-05T23:16:40.3900544Z  * branch            ac0133ea89a8fd730a9cc9649c5226a9995dc3e1 -> FETCH_HEAD
2025-06-05T23:16:40.4810971Z Submodule path 'third-party/json': checked out 'ac0133ea89a8fd730a9cc9649c5226a9995dc3e1'
2025-06-05T23:16:40.4897746Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-06-05T23:16:41.2654215Z From https://github.com/facebook/buck2-prelude
2025-06-05T23:16:41.2654730Z  * branch            48c249f8c7b99ff501d6e857754760315072b306 -> FETCH_HEAD
2025-06-05T23:16:41.3996996Z Submodule path 'third-party/prelude': checked out '48c249f8c7b99ff501d6e857754760315072b306'
2025-06-05T23:16:41.9550035Z From https://github.com/pybind/pybind11
2025-06-05T23:16:41.9550515Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-06-05T23:16:41.9823666Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-06-05T23:16:41.9856027Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-06-05T23:16:42.0104328Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:42.0141763Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:42.0177460Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:42.0219666Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:16:42.0256105Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:42.0292199Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:42.0328656Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:16:42.0366474Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:42.0402966Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:42.0439304Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:42.0492863Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:42.0530480Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:42.0567744Z Entering 'extension/llm/tokenizers'
2025-06-05T23:16:42.0604780Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:42.0642962Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:42.0681670Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:42.0717994Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:42.0755980Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:42.0792887Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:42.0831812Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:42.0871096Z Entering 'shim'
2025-06-05T23:16:42.0907245Z Entering 'third-party/ao'
2025-06-05T23:16:42.0944138Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:42.0992134Z Entering 'third-party/flatbuffers'
2025-06-05T23:16:42.1032219Z Entering 'third-party/flatcc'
2025-06-05T23:16:42.1070476Z Entering 'third-party/gflags'
2025-06-05T23:16:42.1106533Z Entering 'third-party/googletest'
2025-06-05T23:16:42.1143800Z Entering 'third-party/ios-cmake'
2025-06-05T23:16:42.1181270Z Entering 'third-party/json'
2025-06-05T23:16:42.1220590Z Entering 'third-party/pocketfft'
2025-06-05T23:16:42.1257635Z Entering 'third-party/prelude'
2025-06-05T23:16:42.1298076Z Entering 'third-party/pybind11'
2025-06-05T23:16:42.1343942Z ##[endgroup]
2025-06-05T23:16:42.1344581Z ##[group]Persisting credentials for submodules
2025-06-05T23:16:42.1351367Z [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' || :"
2025-06-05T23:16:42.1598356Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:42.1648325Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:42.1697146Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:42.1749670Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:16:42.1797928Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:42.1845997Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:42.1895081Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:16:42.1942962Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:42.1991014Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:42.2039192Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:42.2102802Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:42.2152017Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:42.2201652Z Entering 'extension/llm/tokenizers'
2025-06-05T23:16:42.2249153Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:42.2299957Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:42.2347761Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:42.2395615Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:42.2445547Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:42.2492939Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:42.2541921Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:42.2592149Z Entering 'shim'
2025-06-05T23:16:42.2640568Z Entering 'third-party/ao'
2025-06-05T23:16:42.2688874Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:42.2745893Z Entering 'third-party/flatbuffers'
2025-06-05T23:16:42.2795927Z Entering 'third-party/flatcc'
2025-06-05T23:16:42.2843338Z Entering 'third-party/gflags'
2025-06-05T23:16:42.2891064Z Entering 'third-party/googletest'
2025-06-05T23:16:42.2938574Z Entering 'third-party/ios-cmake'
2025-06-05T23:16:42.2985552Z Entering 'third-party/json'
2025-06-05T23:16:42.3033606Z Entering 'third-party/pocketfft'
2025-06-05T23:16:42.3081394Z Entering 'third-party/prelude'
2025-06-05T23:16:42.3131105Z Entering 'third-party/pybind11'
2025-06-05T23:16:42.3191850Z [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"
2025-06-05T23:16:42.3432767Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:42.3478586Z 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
2025-06-05T23:16:42.3492280Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:42.3537233Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-06-05T23:16:42.3550620Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:42.3596399Z 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
2025-06-05T23:16:42.3613400Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:16:42.3658929Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-06-05T23:16:42.3672537Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:42.3718680Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-06-05T23:16:42.3732493Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:42.3778621Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-06-05T23:16:42.3792316Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:16:42.3837248Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-06-05T23:16:42.3850753Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:42.3896937Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-06-05T23:16:42.3910670Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:42.3955531Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-06-05T23:16:42.3969374Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:42.4015118Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-06-05T23:16:42.4046515Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:42.4092191Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-06-05T23:16:42.4106430Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:42.4151737Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-06-05T23:16:42.4165343Z Entering 'extension/llm/tokenizers'
2025-06-05T23:16:42.4210499Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-06-05T23:16:42.4222750Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:42.4270452Z 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
2025-06-05T23:16:42.4285463Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:42.4330680Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/json/config	remote.origin.url
2025-06-05T23:16:42.4345144Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:42.4390356Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/pcre2/config	remote.origin.url
2025-06-05T23:16:42.4402523Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:42.4448755Z 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
2025-06-05T23:16:42.4464280Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:42.4509747Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/re2/config	remote.origin.url
2025-06-05T23:16:42.4523165Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:42.4568951Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/modules/third-party/sentencepiece/config	remote.origin.url
2025-06-05T23:16:42.4584132Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:42.4630877Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-06-05T23:16:42.4646774Z Entering 'shim'
2025-06-05T23:16:42.4691961Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-06-05T23:16:42.4705254Z Entering 'third-party/ao'
2025-06-05T23:16:42.4750470Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-06-05T23:16:42.4764338Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:42.4810134Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/modules/third_party/cutlass/config	remote.origin.url
2025-06-05T23:16:42.4833973Z Entering 'third-party/flatbuffers'
2025-06-05T23:16:42.4879448Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-06-05T23:16:42.4895591Z Entering 'third-party/flatcc'
2025-06-05T23:16:42.4940106Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-06-05T23:16:42.4953898Z Entering 'third-party/gflags'
2025-06-05T23:16:42.4999277Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-06-05T23:16:42.5011801Z Entering 'third-party/googletest'
2025-06-05T23:16:42.5056304Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-06-05T23:16:42.5070134Z Entering 'third-party/ios-cmake'
2025-06-05T23:16:42.5115249Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-06-05T23:16:42.5128550Z Entering 'third-party/json'
2025-06-05T23:16:42.5174093Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/json/config	remote.origin.url
2025-06-05T23:16:42.5188974Z Entering 'third-party/pocketfft'
2025-06-05T23:16:42.5233767Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-06-05T23:16:42.5246820Z Entering 'third-party/prelude'
2025-06-05T23:16:42.5292586Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-06-05T23:16:42.5308815Z Entering 'third-party/pybind11'
2025-06-05T23:16:42.5353148Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-06-05T23:16:42.5771219Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-06-05T23:16:42.6025247Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:42.6063053Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:42.6100078Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:42.6141392Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:16:42.6178917Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:42.6216227Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:42.6253756Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:16:42.6291382Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:42.6328411Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:42.6366482Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:42.6418998Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:42.6457494Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:42.6495473Z Entering 'extension/llm/tokenizers'
2025-06-05T23:16:42.6532317Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:42.6571926Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:42.6610624Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:42.6648096Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:42.6687712Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:42.6724298Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:42.6761939Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:42.6801359Z Entering 'shim'
2025-06-05T23:16:42.6837521Z Entering 'third-party/ao'
2025-06-05T23:16:42.6874511Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:42.6921200Z Entering 'third-party/flatbuffers'
2025-06-05T23:16:42.6960086Z Entering 'third-party/flatcc'
2025-06-05T23:16:42.6997050Z Entering 'third-party/gflags'
2025-06-05T23:16:42.7032663Z Entering 'third-party/googletest'
2025-06-05T23:16:42.7068888Z Entering 'third-party/ios-cmake'
2025-06-05T23:16:42.7105603Z Entering 'third-party/json'
2025-06-05T23:16:42.7144420Z Entering 'third-party/pocketfft'
2025-06-05T23:16:42.7181157Z Entering 'third-party/prelude'
2025-06-05T23:16:42.7219840Z Entering 'third-party/pybind11'
2025-06-05T23:16:42.7269234Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-06-05T23:16:42.7512631Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-06-05T23:16:42.7549560Z Entering 'backends/arm/third-party/serialization_lib'
2025-06-05T23:16:42.7585702Z Entering 'backends/arm/third-party/serialization_lib/third_party/flatbuffers'
2025-06-05T23:16:42.7626572Z Entering 'backends/cadence/utils/FACTO'
2025-06-05T23:16:42.7663585Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-06-05T23:16:42.7700998Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-06-05T23:16:42.7738098Z Entering 'backends/vulkan/third-party/volk'
2025-06-05T23:16:42.7775234Z Entering 'backends/xnnpack/third-party/FP16'
2025-06-05T23:16:42.7811785Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-06-05T23:16:42.7848148Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-06-05T23:16:42.7900558Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-06-05T23:16:42.7937790Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-06-05T23:16:42.7974450Z Entering 'extension/llm/tokenizers'
2025-06-05T23:16:42.8010615Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp'
2025-06-05T23:16:42.8048698Z Entering 'extension/llm/tokenizers/third-party/json'
2025-06-05T23:16:42.8087508Z Entering 'extension/llm/tokenizers/third-party/pcre2'
2025-06-05T23:16:42.8123810Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit'
2025-06-05T23:16:42.8161478Z Entering 'extension/llm/tokenizers/third-party/re2'
2025-06-05T23:16:42.8197250Z Entering 'extension/llm/tokenizers/third-party/sentencepiece'
2025-06-05T23:16:42.8235136Z Entering 'kernels/optimized/third-party/eigen'
2025-06-05T23:16:42.8273707Z Entering 'shim'
2025-06-05T23:16:42.8311024Z Entering 'third-party/ao'
2025-06-05T23:16:42.8347634Z Entering 'third-party/ao/third_party/cutlass'
2025-06-05T23:16:42.8394706Z Entering 'third-party/flatbuffers'
2025-06-05T23:16:42.8433246Z Entering 'third-party/flatcc'
2025-06-05T23:16:42.8470247Z Entering 'third-party/gflags'
2025-06-05T23:16:42.8506695Z Entering 'third-party/googletest'
2025-06-05T23:16:42.8542612Z Entering 'third-party/ios-cmake'
2025-06-05T23:16:42.8578729Z Entering 'third-party/json'
2025-06-05T23:16:42.8616125Z Entering 'third-party/pocketfft'
2025-06-05T23:16:42.8652084Z Entering 'third-party/prelude'
2025-06-05T23:16:42.8692038Z Entering 'third-party/pybind11'
2025-06-05T23:16:42.8736305Z ##[endgroup]
2025-06-05T23:16:42.8767689Z [command]/usr/bin/git log -1 --format=%H
2025-06-05T23:16:42.8786475Z bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:42.8986565Z Prepare all required actions
2025-06-05T23:16:42.8987064Z Getting action download info
2025-06-05T23:16:42.9960555Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-06-05T23:16:43.1523233Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-06-05T23:16:43.1523612Z with:
2025-06-05T23:16:43.1523873Z   docker-image-name: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:43.1524234Z   docker-build-dir: .ci/docker
2025-06-05T23:16:43.1524517Z   working-directory: pytorch/executorch
2025-06-05T23:16:43.1524837Z   docker-build-script: ./build.sh
2025-06-05T23:16:43.1525209Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.1525598Z   force-push: false
2025-06-05T23:16:43.1525804Z env:
2025-06-05T23:16:43.1526043Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:43.1526364Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:43.1526638Z   PR_NUMBER: 
2025-06-05T23:16:43.1529044Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:43.1531599Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:43.1532174Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:43.1532712Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:43.1533076Z ##[endgroup]
2025-06-05T23:16:43.1560695Z ##[group]Run set -ex
2025-06-05T23:16:43.1561008Z set -ex
2025-06-05T23:16:43.1561208Z 
2025-06-05T23:16:43.1561713Z # If the docker build directory or the build script doesn't exist, the action will
2025-06-05T23:16:43.1562359Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-06-05T23:16:43.1562902Z # job could then download the pre-built image as usual
2025-06-05T23:16:43.1563443Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]]; then
2025-06-05T23:16:43.1564173Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1564611Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1564994Z 
2025-06-05T23:16:43.1565339Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-06-05T23:16:43.1565768Z   exit 0
2025-06-05T23:16:43.1565978Z else
2025-06-05T23:16:43.1566234Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1566537Z fi
2025-06-05T23:16:43.1566737Z 
2025-06-05T23:16:43.1567053Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-06-05T23:16:43.1567636Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-06-05T23:16:43.1568158Z   # use it as it is, but first let's extract the tag
2025-06-05T23:16:43.1568614Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-06-05T23:16:43.1569103Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1569563Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1569954Z else
2025-06-05T23:16:43.1570205Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-06-05T23:16:43.1570703Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-06-05T23:16:43.1571096Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-06-05T23:16:43.1571422Z   fi
2025-06-05T23:16:43.1571866Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-06-05T23:16:43.1572454Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1573079Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1573765Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1574169Z fi
2025-06-05T23:16:43.1579762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:43.1580115Z env:
2025-06-05T23:16:43.1580362Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:43.1580689Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:43.1580961Z   PR_NUMBER: 
2025-06-05T23:16:43.1583315Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:43.1585861Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:43.1586421Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:43.1586957Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:43.1587333Z   REPO_NAME: executorch
2025-06-05T23:16:43.1587713Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:43.1588047Z   DOCKER_BUILD_DIR: .ci/docker
2025-06-05T23:16:43.1588437Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-06-05T23:16:43.1588807Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.1589176Z   CUSTOM_TAG_PREFIX: 
2025-06-05T23:16:43.1589409Z ##[endgroup]
2025-06-05T23:16:43.1615558Z + [[ ! -d .ci/docker ]]
2025-06-05T23:16:43.1616046Z + [[ ! -f .ci/docker/./build.sh ]]
2025-06-05T23:16:43.1616532Z + echo skip=false
2025-06-05T23:16:43.1617319Z + [[ 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* ]]
2025-06-05T23:16:43.1618050Z + [[ executorch-ubuntu-22.04-gcc9 == *:* ]]
2025-06-05T23:16:43.1623492Z ++ git rev-parse HEAD:.ci/docker
2025-06-05T23:16:43.1637264Z + DOCKER_TAG=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.1638065Z + echo docker-tag=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.1639525Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.1640553Z + echo custom-tag-prefix=
2025-06-05T23:16:43.1674556Z ##[group]Run set +e
2025-06-05T23:16:43.1674874Z set +e
2025-06-05T23:16:43.1675096Z set -x
2025-06-05T23:16:43.1675294Z 
2025-06-05T23:16:43.1675509Z login() {
2025-06-05T23:16:43.1676092Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-06-05T23:16:43.1676606Z }
2025-06-05T23:16:43.1676807Z 
2025-06-05T23:16:43.1676998Z retry () {
2025-06-05T23:16:43.1677259Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-06-05T23:16:43.1677550Z }
2025-06-05T23:16:43.1677749Z 
2025-06-05T23:16:43.1677960Z retry login "${DOCKER_REGISTRY}"
2025-06-05T23:16:43.1678395Z 
2025-06-05T23:16:43.1678593Z START_TIME=$(date +%s)
2025-06-05T23:16:43.1678877Z # Wait up to 120 minutes
2025-06-05T23:16:43.1679237Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-06-05T23:16:43.1679698Z   # Check if image already exists, if it does then skip building it
2025-06-05T23:16:43.1680171Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-06-05T23:16:43.1680508Z     exit 0
2025-06-05T23:16:43.1680729Z   fi
2025-06-05T23:16:43.1680919Z 
2025-06-05T23:16:43.1681287Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-06-05T23:16:43.1681933Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-06-05T23:16:43.1682568Z   # latter, it will wait for the Docker images to become available before continuing
2025-06-05T23:16:43.1683082Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-06-05T23:16:43.1683459Z     # It's a Docker build job, let's build the image
2025-06-05T23:16:43.1683799Z     break
2025-06-05T23:16:43.1684010Z   else
2025-06-05T23:16:43.1684334Z     # It's a regular build job, wait for the image to become available
2025-06-05T23:16:43.1684735Z     sleep 300
2025-06-05T23:16:43.1684958Z   fi
2025-06-05T23:16:43.1685161Z done
2025-06-05T23:16:43.1685351Z 
2025-06-05T23:16:43.1685688Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-06-05T23:16:43.1686229Z # be empty.  The default action would be to continue rebuild the image
2025-06-05T23:16:43.1686727Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-06-05T23:16:43.1687168Z   # if we're on the base branch then use the parent commit
2025-06-05T23:16:43.1687554Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-06-05T23:16:43.1687862Z else
2025-06-05T23:16:43.1688164Z   # otherwise we're on a PR, so use the most recent base commit
2025-06-05T23:16:43.1688704Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-06-05T23:16:43.1689044Z fi
2025-06-05T23:16:43.1689250Z 
2025-06-05T23:16:43.1689477Z if [[ -z "${MERGE_BASE}" ]]; then
2025-06-05T23:16:43.1689813Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1690139Z 
2025-06-05T23:16:43.1690579Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-06-05T23:16:43.1691118Z   exit 0
2025-06-05T23:16:43.1691322Z fi
2025-06-05T23:16:43.1691529Z 
2025-06-05T23:16:43.1691814Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-06-05T23:16:43.1692482Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-06-05T23:16:43.1693055Z   exit 1
2025-06-05T23:16:43.1693295Z fi
2025-06-05T23:16:43.1693491Z 
2025-06-05T23:16:43.1693842Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-06-05T23:16:43.1694474Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-06-05T23:16:43.1695047Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-06-05T23:16:43.1695707Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-06-05T23:16:43.1696443Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-06-05T23:16:43.1696885Z fi
2025-06-05T23:16:43.1697072Z 
2025-06-05T23:16:43.1697317Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-06-05T23:16:43.1702616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:43.1702978Z env:
2025-06-05T23:16:43.1703613Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.1704333Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:43.1704608Z   PR_NUMBER: 
2025-06-05T23:16:43.1706951Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:43.1709601Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:43.1710166Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:43.1710704Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:43.1711087Z   DOCKER_BUILD_DIR: .ci/docker
2025-06-05T23:16:43.1711420Z   BASE_REVISION: bd572346e4f196b36aaa03a1645d12b1618fe88b
2025-06-05T23:16:43.1711827Z   DOCKER_TAG: 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.1712255Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.1712632Z   DOCKER_PUSH: 
2025-06-05T23:16:43.1712835Z ##[endgroup]
2025-06-05T23:16:43.1733833Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.1734251Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.1736633Z + aws ecr get-login-password --region us-east-1
2025-06-05T23:16:43.1737556Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:43.6868017Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:16:43.6869219Z Configure a credential helper to remove this warning. See
2025-06-05T23:16:43.6870061Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:16:43.6870486Z 
2025-06-05T23:16:43.6870595Z Login Succeeded
2025-06-05T23:16:43.6883575Z ++ date +%s
2025-06-05T23:16:43.6892170Z + START_TIME=1749165403
2025-06-05T23:16:43.6895042Z ++ date +%s
2025-06-05T23:16:43.6903135Z + [[ 1749158203 -lt 1749165403 ]]
2025-06-05T23:16:43.6903901Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:43.9120101Z {
2025-06-05T23:16:43.9120534Z 	"schemaVersion": 2,
2025-06-05T23:16:43.9121149Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-06-05T23:16:43.9121849Z 	"config": {
2025-06-05T23:16:43.9122439Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-06-05T23:16:43.9123175Z 		"size": 15095,
2025-06-05T23:16:43.9123922Z 		"digest": "sha256:42decea3c25abb6838d54569767446361257d89de818cf9439800ba025d1a8e3"
2025-06-05T23:16:43.9124690Z 	},
2025-06-05T23:16:43.9124960Z 	"layers": [
2025-06-05T23:16:43.9125251Z 		{
2025-06-05T23:16:43.9125818Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9126523Z 			"size": 30438509,
2025-06-05T23:16:43.9127160Z 			"digest": "sha256:f557aa5ee22480ee9e1af0a094ce5174a8c3d83e1aa20dc8482e4e387546e0c3"
2025-06-05T23:16:43.9127964Z 		},
2025-06-05T23:16:43.9128231Z 		{
2025-06-05T23:16:43.9128698Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9129411Z 			"size": 631,
2025-06-05T23:16:43.9130132Z 			"digest": "sha256:e9a71f6cf6a033cad973f94ad3269a9e3774b3a547f2d35c6337589ebab6aeac"
2025-06-05T23:16:43.9130880Z 		},
2025-06-05T23:16:43.9131526Z 		{
2025-06-05T23:16:43.9132036Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9132723Z 			"size": 150105259,
2025-06-05T23:16:43.9133417Z 			"digest": "sha256:e3fa90510e3ddf1a5b6e79a35ae5e2ab40f009c2f0c9cab62af5f35d571aea2b"
2025-06-05T23:16:43.9134099Z 		},
2025-06-05T23:16:43.9134361Z 		{
2025-06-05T23:16:43.9134922Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9135567Z 			"size": 622,
2025-06-05T23:16:43.9136116Z 			"digest": "sha256:8f296761951c2477ba8d9546ac834b6cf17e772fbe388f9e3b2f4e822beb7713"
2025-06-05T23:16:43.9136766Z 		},
2025-06-05T23:16:43.9137012Z 		{
2025-06-05T23:16:43.9137479Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9138169Z 			"size": 19308694,
2025-06-05T23:16:43.9138580Z 			"digest": "sha256:2bd607872e21b1598813388822a5be3ac4118c238c943eb3cf8fc2710f05e55c"
2025-06-05T23:16:43.9139040Z 		},
2025-06-05T23:16:43.9139212Z 		{
2025-06-05T23:16:43.9139538Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9139929Z 			"size": 736,
2025-06-05T23:16:43.9140323Z 			"digest": "sha256:4420b1e1a07f73643ce79401c2021c6970bc6e411c501a43b58d157e19090d5a"
2025-06-05T23:16:43.9140759Z 		},
2025-06-05T23:16:43.9140939Z 		{
2025-06-05T23:16:43.9141239Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9141637Z 			"size": 104,
2025-06-05T23:16:43.9142010Z 			"digest": "sha256:6809dd57201d890b32bda0c0eb39673d6e09056042f299c6332b5c8183a0b16b"
2025-06-05T23:16:43.9142460Z 		},
2025-06-05T23:16:43.9142639Z 		{
2025-06-05T23:16:43.9142935Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9143333Z 			"size": 445,
2025-06-05T23:16:43.9143693Z 			"digest": "sha256:172401b941b1764c760147d40814402d1238a7f1c7287fd8c0c9dd4897f09610"
2025-06-05T23:16:43.9144131Z 		},
2025-06-05T23:16:43.9144296Z 		{
2025-06-05T23:16:43.9144610Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9144998Z 			"size": 53116012,
2025-06-05T23:16:43.9145389Z 			"digest": "sha256:5e083320d4a85ac5551065f575072c6bd6548108f7c2b5536111149247e65ab5"
2025-06-05T23:16:43.9145994Z 		},
2025-06-05T23:16:43.9146163Z 		{
2025-06-05T23:16:43.9146477Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9146866Z 			"size": 636,
2025-06-05T23:16:43.9147264Z 			"digest": "sha256:2d7e5abdd88dbf42ba6487b146573396d6f489b24623393763a4916452feeb69"
2025-06-05T23:16:43.9147786Z 		},
2025-06-05T23:16:43.9147971Z 		{
2025-06-05T23:16:43.9148270Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9148676Z 			"size": 35152813,
2025-06-05T23:16:43.9149080Z 			"digest": "sha256:ecda6316bb2ae022327bc0ca356f874777088d22dfdacd65f6e8ab809bd853b0"
2025-06-05T23:16:43.9149546Z 		},
2025-06-05T23:16:43.9149728Z 		{
2025-06-05T23:16:43.9150031Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9150429Z 			"size": 318,
2025-06-05T23:16:43.9150811Z 			"digest": "sha256:380307a36ed2d54c982df9262fd1ec3b7fb61743ad1a24e7d1b691bc44edba7a"
2025-06-05T23:16:43.9151271Z 		},
2025-06-05T23:16:43.9151441Z 		{
2025-06-05T23:16:43.9151752Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9152142Z 			"size": 253184649,
2025-06-05T23:16:43.9152565Z 			"digest": "sha256:feffff0efa8b9bf0e13334d71636facfd619a2e0c2b8b021189175422a437845"
2025-06-05T23:16:43.9153024Z 		},
2025-06-05T23:16:43.9153206Z 		{
2025-06-05T23:16:43.9153517Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9153906Z 			"size": 475,
2025-06-05T23:16:43.9154305Z 			"digest": "sha256:3ec19c2849b3bf6807efe10c62465e3f4d91dfd9fc8c1ff5b3667814c740339d"
2025-06-05T23:16:43.9154751Z 		},
2025-06-05T23:16:43.9154931Z 		{
2025-06-05T23:16:43.9155229Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9156480Z 			"size": 1041,
2025-06-05T23:16:43.9156889Z 			"digest": "sha256:90036e383dcd10f97f0ec22516fcc2db7a9a5a722c1a2eb97a1ca188b295b072"
2025-06-05T23:16:43.9157360Z 		},
2025-06-05T23:16:43.9157530Z 		{
2025-06-05T23:16:43.9157843Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9158245Z 			"size": 613,
2025-06-05T23:16:43.9158639Z 			"digest": "sha256:5e70c61fded41a31ea65efce907d9dff9acbc03826fb949591a55cfdd3385730"
2025-06-05T23:16:43.9159108Z 		},
2025-06-05T23:16:43.9159278Z 		{
2025-06-05T23:16:43.9159590Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9159980Z 			"size": 111076263,
2025-06-05T23:16:43.9160386Z 			"digest": "sha256:80a92491d99a8d568a91623a761e0bbb1372dad8fd1a906aaa89e68d989d80f9"
2025-06-05T23:16:43.9160829Z 		},
2025-06-05T23:16:43.9161006Z 		{
2025-06-05T23:16:43.9161320Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9161707Z 			"size": 572,
2025-06-05T23:16:43.9162102Z 			"digest": "sha256:47470b077c5ac53ae697354e6f9bcaad809a77f0d53e7491df4edb1fcc954d6d"
2025-06-05T23:16:43.9162550Z 		},
2025-06-05T23:16:43.9162736Z 		{
2025-06-05T23:16:43.9163034Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9163432Z 			"size": 208,
2025-06-05T23:16:43.9164058Z 			"digest": "sha256:b626d927c9a8b783b8230a04798caeaa57ec181ba1efa15a1177a37163669df3"
2025-06-05T23:16:43.9164522Z 		},
2025-06-05T23:16:43.9164691Z 		{
2025-06-05T23:16:43.9165005Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9165405Z 			"size": 1190,
2025-06-05T23:16:43.9165782Z 			"digest": "sha256:5630a9397492da6fac00fcc2b54281af300c4762827878ad79bbf050d7f1388d"
2025-06-05T23:16:43.9166236Z 		},
2025-06-05T23:16:43.9166406Z 		{
2025-06-05T23:16:43.9166722Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9167115Z 			"size": 679,
2025-06-05T23:16:43.9167361Z + exit 0
2025-06-05T23:16:43.9167750Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:16:43.9168201Z 		},
2025-06-05T23:16:43.9168513Z 		{
2025-06-05T23:16:43.9168815Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9169217Z 			"size": 6857044176,
2025-06-05T23:16:43.9169648Z 			"digest": "sha256:2e92a82be6ac50b3b014ff6120dbf8bd1c81e47915a17e949a18c792f6ffc625"
2025-06-05T23:16:43.9170101Z 		},
2025-06-05T23:16:43.9170288Z 		{
2025-06-05T23:16:43.9170604Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9170994Z 			"size": 1383,
2025-06-05T23:16:43.9171400Z 			"digest": "sha256:09dac94eaf912c1143008ab2c199dc2a0547cf68fe2b08e1b96af9c2895928ae"
2025-06-05T23:16:43.9171850Z 		},
2025-06-05T23:16:43.9172034Z 		{
2025-06-05T23:16:43.9172335Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9172740Z 			"size": 679,
2025-06-05T23:16:43.9173136Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:16:43.9173606Z 		},
2025-06-05T23:16:43.9173777Z 		{
2025-06-05T23:16:43.9174101Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9174510Z 			"size": 232878437,
2025-06-05T23:16:43.9174916Z 			"digest": "sha256:e86add187a69f0dff50e57826aff59df6b24b7e6f554637bdfdd74bed4c92cc2"
2025-06-05T23:16:43.9175385Z 		},
2025-06-05T23:16:43.9175556Z 		{
2025-06-05T23:16:43.9175868Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9176253Z 			"size": 827,
2025-06-05T23:16:43.9176659Z 			"digest": "sha256:dec0deaa1ed566de23b66dcd78ea8449250b56b611cab27ebb83b9504d48a46b"
2025-06-05T23:16:43.9177119Z 		},
2025-06-05T23:16:43.9177299Z 		{
2025-06-05T23:16:43.9177608Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9177995Z 			"size": 679,
2025-06-05T23:16:43.9178388Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:16:43.9178935Z 		},
2025-06-05T23:16:43.9179119Z 		{
2025-06-05T23:16:43.9179418Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9179824Z 			"size": 189236795,
2025-06-05T23:16:43.9180220Z 			"digest": "sha256:2d317a84d3a21b8192b1b9d2d9ae24d209b501863ff1f486174318bcdd48697f"
2025-06-05T23:16:43.9180673Z 		},
2025-06-05T23:16:43.9180841Z 		{
2025-06-05T23:16:43.9181157Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9181562Z 			"size": 530,
2025-06-05T23:16:43.9181952Z 			"digest": "sha256:e8c9ad02b5187f5d1cb1d0cce8e115dd9462726f44a685de71b4cbe4f70c67e6"
2025-06-05T23:16:43.9182420Z 		},
2025-06-05T23:16:43.9182587Z 		{
2025-06-05T23:16:43.9182901Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9183290Z 			"size": 679,
2025-06-05T23:16:43.9183687Z 			"digest": "sha256:1fc2d9899ffb3967bedc37627591b09f8e71118dfa4afe3eaa4fb76079e974bd"
2025-06-05T23:16:43.9184139Z 		},
2025-06-05T23:16:43.9184323Z 		{
2025-06-05T23:16:43.9184620Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9185025Z 			"size": 354,
2025-06-05T23:16:43.9185413Z 			"digest": "sha256:ca22a013d303766ddf153f37526c40fa37dc1c0d112176fdb33378c50a81c354"
2025-06-05T23:16:43.9185855Z 		},
2025-06-05T23:16:43.9186033Z 		{
2025-06-05T23:16:43.9186332Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9186729Z 			"size": 32,
2025-06-05T23:16:43.9187112Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-06-05T23:16:43.9187659Z 		},
2025-06-05T23:16:43.9187836Z 		{
2025-06-05T23:16:43.9188154Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9188562Z 			"size": 164,
2025-06-05T23:16:43.9188941Z 			"digest": "sha256:7a90434c2919b4d01b0b6ef02337a0e5c209bc9076c4716164a456692197e73e"
2025-06-05T23:16:43.9189393Z 		},
2025-06-05T23:16:43.9189563Z 		{
2025-06-05T23:16:43.9189876Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9190261Z 			"size": 1109,
2025-06-05T23:16:43.9190781Z 			"digest": "sha256:c2b62aa0dc26b7dd48338aef7893ebaf56403579f42aa88a56bd416c04f43619"
2025-06-05T23:16:43.9191234Z 		},
2025-06-05T23:16:43.9191418Z 		{
2025-06-05T23:16:43.9191720Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9192123Z 			"size": 32,
2025-06-05T23:16:43.9192522Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-06-05T23:16:43.9192973Z 		},
2025-06-05T23:16:43.9193152Z 		{
2025-06-05T23:16:43.9193452Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-06-05T23:16:43.9193850Z 			"size": 108,
2025-06-05T23:16:43.9194230Z 			"digest": "sha256:fa91738771aa1bce765f6661292f0e3c27331fb23dedd083af173eb2414380c3"
2025-06-05T23:16:43.9194683Z 		}
2025-06-05T23:16:43.9194858Z 	]
2025-06-05T23:16:43.9195035Z }
2025-06-05T23:16:43.9241227Z ##[group]Run set -eux
2025-06-05T23:16:43.9241614Z set -eux
2025-06-05T23:16:43.9242970Z 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
2025-06-05T23:16:43.9252382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:43.9253033Z env:
2025-06-05T23:16:43.9253436Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:43.9254045Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:43.9254512Z   PR_NUMBER: 
2025-06-05T23:16:43.9259113Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:43.9264342Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:43.9265449Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:43.9266458Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:43.9267145Z ##[endgroup]
2025-06-05T23:16:43.9298580Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-06-05T23:16:43.9299419Z + jq --raw-output .SecretString
2025-06-05T23:16:43.9300306Z + jq -r .docker_hub_readonly_token
2025-06-05T23:16:43.9302198Z + docker login --username pytorchbot --password-stdin
2025-06-05T23:16:44.4960260Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:16:44.4960948Z Configure a credential helper to remove this warning. See
2025-06-05T23:16:44.4961785Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:16:44.4962211Z 
2025-06-05T23:16:44.4962303Z Login Succeeded
2025-06-05T23:16:44.5039839Z Prepare all required actions
2025-06-05T23:16:44.5095138Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-06-05T23:16:44.5095493Z with:
2025-06-05T23:16:44.5096124Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:44.5096935Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:44.5097298Z env:
2025-06-05T23:16:44.5097536Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:44.5097854Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:44.5098125Z   PR_NUMBER: 
2025-06-05T23:16:44.5100514Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:44.5103225Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:44.5103791Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:44.5104319Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:44.5104697Z ##[endgroup]
2025-06-05T23:16:44.5127442Z ##[group]Run set -x
2025-06-05T23:16:44.5127715Z set -x
2025-06-05T23:16:44.5127932Z set +e
2025-06-05T23:16:44.5128128Z 
2025-06-05T23:16:44.5128342Z login() {
2025-06-05T23:16:44.5128813Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-06-05T23:16:44.5129308Z }
2025-06-05T23:16:44.5129509Z 
2025-06-05T23:16:44.5129692Z retry () {
2025-06-05T23:16:44.5129952Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-06-05T23:16:44.5130241Z }
2025-06-05T23:16:44.5130436Z 
2025-06-05T23:16:44.5130643Z retry login "${DOCKER_REGISTRY}"
2025-06-05T23:16:44.5130932Z 
2025-06-05T23:16:44.5131401Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-06-05T23:16:44.5132034Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-06-05T23:16:44.5132390Z 
2025-06-05T23:16:44.5132573Z set -e
2025-06-05T23:16:44.5132897Z # ignore output since only exit code is used for conditional
2025-06-05T23:16:44.5133367Z # only pull docker image if it's not available locally
2025-06-05T23:16:44.5133905Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-06-05T23:16:44.5134394Z   retry docker pull "${DOCKER_IMAGE}"
2025-06-05T23:16:44.5134695Z fi
2025-06-05T23:16:44.5140221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:16:44.5140574Z env:
2025-06-05T23:16:44.5141206Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:44.5141931Z   REPOSITORY: pytorch/executorch
2025-06-05T23:16:44.5142203Z   PR_NUMBER: 
2025-06-05T23:16:44.5144694Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:16:44.5147261Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:16:44.5147919Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:16:44.5148463Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:16:44.5148927Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:44.5149309Z ##[endgroup]
2025-06-05T23:16:44.5171694Z + set +e
2025-06-05T23:16:44.5172087Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:44.5172545Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:44.5175080Z + aws ecr get-login-password --region us-east-1
2025-06-05T23:16:44.5176191Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-06-05T23:16:45.0380773Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-06-05T23:16:45.0381384Z Configure a credential helper to remove this warning. See
2025-06-05T23:16:45.0381933Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-06-05T23:16:45.0382310Z 
2025-06-05T23:16:45.0383000Z Login Succeeded
2025-06-05T23:16:45.0398549Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:45.0399982Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-06-05T23:16:45.2723606Z + IMAGE_SIZE=7564.136074066162
2025-06-05T23:16:45.2724023Z + echo 'Compressed size of image in MB: 7564.136074066162'
2025-06-05T23:16:45.2724418Z + set -e
2025-06-05T23:16:45.2724659Z Compressed size of image in MB: 7564.136074066162
2025-06-05T23:16:45.2725498Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:45.2831804Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:45.2832972Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:16:45.5078725Z 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa: Pulling from executorch/executorch-ubuntu-22.04-gcc9
2025-06-05T23:16:45.5079465Z f557aa5ee224: Pulling fs layer
2025-06-05T23:16:45.5079743Z e9a71f6cf6a0: Pulling fs layer
2025-06-05T23:16:45.5080023Z e3fa90510e3d: Pulling fs layer
2025-06-05T23:16:45.5080281Z 8f296761951c: Pulling fs layer
2025-06-05T23:16:45.5080582Z 2bd607872e21: Pulling fs layer
2025-06-05T23:16:45.5080836Z 4420b1e1a07f: Pulling fs layer
2025-06-05T23:16:45.5081112Z 6809dd57201d: Pulling fs layer
2025-06-05T23:16:45.5081363Z 172401b941b1: Pulling fs layer
2025-06-05T23:16:45.5081615Z 2bd607872e21: Waiting
2025-06-05T23:16:45.5081830Z 4420b1e1a07f: Waiting
2025-06-05T23:16:45.5082068Z 5e083320d4a8: Pulling fs layer
2025-06-05T23:16:45.5082333Z 2d7e5abdd88d: Pulling fs layer
2025-06-05T23:16:45.5082591Z ecda6316bb2a: Pulling fs layer
2025-06-05T23:16:45.5082846Z 8f296761951c: Waiting
2025-06-05T23:16:45.5083068Z 380307a36ed2: Pulling fs layer
2025-06-05T23:16:45.5083319Z 6809dd57201d: Waiting
2025-06-05T23:16:45.5083544Z feffff0efa8b: Pulling fs layer
2025-06-05T23:16:45.5083799Z 172401b941b1: Waiting
2025-06-05T23:16:45.5084007Z 5e083320d4a8: Waiting
2025-06-05T23:16:45.5084238Z 3ec19c2849b3: Pulling fs layer
2025-06-05T23:16:45.5084490Z 90036e383dcd: Pulling fs layer
2025-06-05T23:16:45.5084753Z 5e70c61fded4: Pulling fs layer
2025-06-05T23:16:45.5085016Z ecda6316bb2a: Waiting
2025-06-05T23:16:45.5085239Z 80a92491d99a: Pulling fs layer
2025-06-05T23:16:45.5086056Z 2d7e5abdd88d: Waiting
2025-06-05T23:16:45.5086303Z 380307a36ed2: Waiting
2025-06-05T23:16:45.5086592Z 47470b077c5a: Pulling fs layer
2025-06-05T23:16:45.5086898Z b626d927c9a8: Pulling fs layer
2025-06-05T23:16:45.5087259Z 5630a9397492: Pulling fs layer
2025-06-05T23:16:45.5087500Z 90036e383dcd: Waiting
2025-06-05T23:16:45.5087727Z 80a92491d99a: Waiting
2025-06-05T23:16:45.5087951Z 1fc2d9899ffb: Pulling fs layer
2025-06-05T23:16:45.5088220Z 2e92a82be6ac: Pulling fs layer
2025-06-05T23:16:45.5088468Z 5e70c61fded4: Waiting
2025-06-05T23:16:45.5088695Z 47470b077c5a: Waiting
2025-06-05T23:16:45.5088932Z 09dac94eaf91: Pulling fs layer
2025-06-05T23:16:45.5089189Z e86add187a69: Pulling fs layer
2025-06-05T23:16:45.5089448Z 2e92a82be6ac: Waiting
2025-06-05T23:16:45.5089659Z 5630a9397492: Waiting
2025-06-05T23:16:45.5089895Z dec0deaa1ed5: Pulling fs layer
2025-06-05T23:16:45.5090276Z b626d927c9a8: Waiting
2025-06-05T23:16:45.5090507Z e86add187a69: Waiting
2025-06-05T23:16:45.5090736Z 2d317a84d3a2: Pulling fs layer
2025-06-05T23:16:45.5091132Z feffff0efa8b: Waiting
2025-06-05T23:16:45.5091361Z dec0deaa1ed5: Waiting
2025-06-05T23:16:45.5091607Z e8c9ad02b518: Pulling fs layer
2025-06-05T23:16:45.5091882Z ca22a013d303: Pulling fs layer
2025-06-05T23:16:45.5092218Z 09dac94eaf91: Waiting
2025-06-05T23:16:45.5092473Z 4f4fb700ef54: Pulling fs layer
2025-06-05T23:16:45.5092761Z 7a90434c2919: Pulling fs layer
2025-06-05T23:16:45.5093054Z c2b62aa0dc26: Pulling fs layer
2025-06-05T23:16:45.5093317Z ca22a013d303: Waiting
2025-06-05T23:16:45.5093663Z e8c9ad02b518: Waiting
2025-06-05T23:16:45.5093896Z 4f4fb700ef54: Waiting
2025-06-05T23:16:45.5094127Z fa91738771aa: Pulling fs layer
2025-06-05T23:16:45.5094441Z 1fc2d9899ffb: Waiting
2025-06-05T23:16:45.5094672Z fa91738771aa: Waiting
2025-06-05T23:16:45.5848225Z e9a71f6cf6a0: Verifying Checksum
2025-06-05T23:16:45.5848564Z e9a71f6cf6a0: Download complete
2025-06-05T23:16:45.6646337Z 8f296761951c: Download complete
2025-06-05T23:16:45.9177823Z f557aa5ee224: Download complete
2025-06-05T23:16:45.9222009Z 2bd607872e21: Verifying Checksum
2025-06-05T23:16:45.9919067Z 4420b1e1a07f: Verifying Checksum
2025-06-05T23:16:45.9919629Z 4420b1e1a07f: Download complete
2025-06-05T23:16:46.0552327Z 6809dd57201d: Download complete
2025-06-05T23:16:46.0552855Z 172401b941b1: Verifying Checksum
2025-06-05T23:16:46.0553286Z 172401b941b1: Download complete
2025-06-05T23:16:46.1508312Z 2d7e5abdd88d: Verifying Checksum
2025-06-05T23:16:46.1508724Z 2d7e5abdd88d: Download complete
2025-06-05T23:16:46.5760787Z ecda6316bb2a: Download complete
2025-06-05T23:16:46.6490957Z 5e083320d4a8: Verifying Checksum
2025-06-05T23:16:46.6491542Z 5e083320d4a8: Download complete
2025-06-05T23:16:46.6730816Z 380307a36ed2: Verifying Checksum
2025-06-05T23:16:46.6731341Z 380307a36ed2: Download complete
2025-06-05T23:16:46.7540618Z 3ec19c2849b3: Verifying Checksum
2025-06-05T23:16:46.7541082Z 3ec19c2849b3: Download complete
2025-06-05T23:16:46.8304716Z 90036e383dcd: Verifying Checksum
2025-06-05T23:16:46.8305249Z 90036e383dcd: Download complete
2025-06-05T23:16:46.8341387Z f557aa5ee224: Pull complete
2025-06-05T23:16:46.8572965Z e9a71f6cf6a0: Pull complete
2025-06-05T23:16:46.8992817Z 5e70c61fded4: Download complete
2025-06-05T23:16:47.1090084Z e3fa90510e3d: Verifying Checksum
2025-06-05T23:16:47.1090520Z e3fa90510e3d: Download complete
2025-06-05T23:16:47.1935986Z 47470b077c5a: Verifying Checksum
2025-06-05T23:16:47.1936571Z 47470b077c5a: Download complete
2025-06-05T23:16:47.2817451Z b626d927c9a8: Download complete
2025-06-05T23:16:47.3818400Z 5630a9397492: Verifying Checksum
2025-06-05T23:16:47.3818836Z 5630a9397492: Download complete
2025-06-05T23:16:47.4740637Z 1fc2d9899ffb: Download complete
2025-06-05T23:16:48.1112507Z 80a92491d99a: Verifying Checksum
2025-06-05T23:16:48.1112894Z 80a92491d99a: Download complete
2025-06-05T23:16:48.1742458Z 09dac94eaf91: Verifying Checksum
2025-06-05T23:16:48.1743095Z 09dac94eaf91: Download complete
2025-06-05T23:16:49.3073837Z feffff0efa8b: Verifying Checksum
2025-06-05T23:16:49.3074430Z feffff0efa8b: Download complete
2025-06-05T23:16:49.3904360Z dec0deaa1ed5: Verifying Checksum
2025-06-05T23:16:49.3904911Z dec0deaa1ed5: Download complete
2025-06-05T23:16:50.8370240Z e86add187a69: Verifying Checksum
2025-06-05T23:16:50.8370638Z e86add187a69: Download complete
2025-06-05T23:16:50.9145763Z e8c9ad02b518: Verifying Checksum
2025-06-05T23:16:50.9146301Z e8c9ad02b518: Download complete
2025-06-05T23:16:51.0141611Z ca22a013d303: Verifying Checksum
2025-06-05T23:16:51.0142055Z ca22a013d303: Download complete
2025-06-05T23:16:51.0209943Z 4f4fb700ef54: Verifying Checksum
2025-06-05T23:16:51.0210325Z 4f4fb700ef54: Download complete
2025-06-05T23:16:51.1416670Z 7a90434c2919: Verifying Checksum
2025-06-05T23:16:51.1417121Z 7a90434c2919: Download complete
2025-06-05T23:16:51.2187100Z c2b62aa0dc26: Verifying Checksum
2025-06-05T23:16:51.2187646Z c2b62aa0dc26: Download complete
2025-06-05T23:16:51.3187392Z fa91738771aa: Verifying Checksum
2025-06-05T23:16:51.3187810Z fa91738771aa: Download complete
2025-06-05T23:16:51.3543951Z e3fa90510e3d: Pull complete
2025-06-05T23:16:51.4157544Z 2d317a84d3a2: Verifying Checksum
2025-06-05T23:16:51.4158061Z 2d317a84d3a2: Download complete
2025-06-05T23:16:51.5770088Z 8f296761951c: Pull complete
2025-06-05T23:16:51.9726168Z 2bd607872e21: Pull complete
2025-06-05T23:16:52.1537500Z 4420b1e1a07f: Pull complete
2025-06-05T23:16:52.2884595Z 6809dd57201d: Pull complete
2025-06-05T23:16:52.4724834Z 172401b941b1: Pull complete
2025-06-05T23:16:53.6225353Z 5e083320d4a8: Pull complete
2025-06-05T23:16:53.7791383Z 2d7e5abdd88d: Pull complete
2025-06-05T23:16:54.4705126Z ecda6316bb2a: Pull complete
2025-06-05T23:16:54.6853120Z 380307a36ed2: Pull complete
2025-06-05T23:17:01.6131249Z feffff0efa8b: Pull complete
2025-06-05T23:17:01.7480447Z 3ec19c2849b3: Pull complete
2025-06-05T23:17:01.9092166Z 90036e383dcd: Pull complete
2025-06-05T23:17:02.0980964Z 5e70c61fded4: Pull complete
2025-06-05T23:17:05.7179964Z 80a92491d99a: Pull complete
2025-06-05T23:17:05.9153262Z 47470b077c5a: Pull complete
2025-06-05T23:17:06.0575232Z b626d927c9a8: Pull complete
2025-06-05T23:17:06.1174662Z 5630a9397492: Pull complete
2025-06-05T23:17:06.1911987Z 1fc2d9899ffb: Pull complete
2025-06-05T23:17:56.1191359Z 2e92a82be6ac: Verifying Checksum
2025-06-05T23:17:56.1191742Z 2e92a82be6ac: Download complete
2025-06-05T23:19:07.0929641Z 2e92a82be6ac: Pull complete
2025-06-05T23:19:07.2764806Z 09dac94eaf91: Pull complete
2025-06-05T23:19:14.4098191Z e86add187a69: Pull complete
2025-06-05T23:19:14.4992223Z dec0deaa1ed5: Pull complete
2025-06-05T23:19:22.3434301Z 2d317a84d3a2: Pull complete
2025-06-05T23:19:22.4920759Z e8c9ad02b518: Pull complete
2025-06-05T23:19:22.8170012Z ca22a013d303: Pull complete
2025-06-05T23:19:22.9099596Z 4f4fb700ef54: Pull complete
2025-06-05T23:19:22.9606496Z 7a90434c2919: Pull complete
2025-06-05T23:19:22.9913688Z c2b62aa0dc26: Pull complete
2025-06-05T23:19:23.0573439Z fa91738771aa: Pull complete
2025-06-05T23:19:23.0804375Z Digest: sha256:7e1783dcb1f1e2cd2c9de40793b54670901c31f2bd82ded9e3245b8c7fc8e335
2025-06-05T23:19:23.1038913Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:23.1167884Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:23.1206959Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:19:23.1207898Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-06-05T23:19:23.1214387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:19:23.1214746Z env:
2025-06-05T23:19:23.1214997Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:19:23.1215361Z   REPOSITORY: pytorch/executorch
2025-06-05T23:19:23.1215625Z   PR_NUMBER: 
2025-06-05T23:19:23.1218034Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:19:23.1220581Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:19:23.1221143Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:19:23.1221847Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:19:23.1222227Z ##[endgroup]
2025-06-05T23:19:23.1356837Z ##[group]Run set -ex
2025-06-05T23:19:23.1357110Z set -ex
2025-06-05T23:19:23.1357313Z {
2025-06-05T23:19:23.1357538Z   echo "#!/usr/bin/env bash";
2025-06-05T23:19:23.1357840Z   echo "set -eou pipefail";
2025-06-05T23:19:23.1358153Z   # shellcheck disable=SC2016
2025-06-05T23:19:23.1358491Z   echo 'eval "$(conda shell.bash hook)"';
2025-06-05T23:19:23.1358807Z   echo "set -x";
2025-06-05T23:19:23.1359069Z   echo "${SCRIPT}";
2025-06-05T23:19:23.1359344Z } > "${RUNNER_TEMP}/exec_script"
2025-06-05T23:19:23.1359676Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-06-05T23:19:23.1360375Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-06-05T23:19:23.1366734Z shell: /usr/bin/bash -e {0}
2025-06-05T23:19:23.1367006Z env:
2025-06-05T23:19:23.1367682Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:19:23.1368399Z   REPOSITORY: pytorch/executorch
2025-06-05T23:19:23.1368676Z   PR_NUMBER: 
2025-06-05T23:19:23.1371036Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:19:23.1373589Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:19:23.1374156Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:19:23.1374693Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:19:23.1375413Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-06-05T23:19:23.1375706Z ##[endgroup]
2025-06-05T23:19:23.1397273Z + echo '#!/usr/bin/env bash'
2025-06-05T23:19:23.1397693Z + echo 'set -eou pipefail'
2025-06-05T23:19:23.1398173Z + echo 'eval "$(conda shell.bash hook)"'
2025-06-05T23:19:23.1398751Z + echo 'set -x'
2025-06-05T23:19:23.1399315Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-06-05T23:19:23.1399843Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-06-05T23:19:23.1400275Z conda activate "${CONDA_ENV}"
2025-06-05T23:19:23.1400645Z 
2025-06-05T23:19:23.1400913Z ./install_requirements.sh --use-pt-pinned-commit
2025-06-05T23:19:23.1401463Z # build module for executorch.extension.pybindings.portable_lib
2025-06-05T23:19:23.1401886Z bash test/build_size_test.sh
2025-06-05T23:19:23.1402164Z strip cmake-out/test/size_test
2025-06-05T23:19:23.1402449Z output=$(ls -la cmake-out/test/size_test)
2025-06-05T23:19:23.1402755Z arr=($output)
2025-06-05T23:19:23.1402952Z size=${arr[4]}
2025-06-05T23:19:23.1403192Z # threshold=48120 on devserver with gcc11.4
2025-06-05T23:19:23.1403528Z # todo(lfq): update once binary size is below 50kb.
2025-06-05T23:19:23.1403856Z threshold="55584"
2025-06-05T23:19:23.1404093Z if [[ "$size" -le "$threshold" ]]; then
2025-06-05T23:19:23.1404407Z   echo "Success $size <= $threshold"
2025-06-05T23:19:23.1404669Z else
2025-06-05T23:19:23.1404876Z   echo "Fail $size > $threshold"
2025-06-05T23:19:23.1405137Z   exit 1
2025-06-05T23:19:23.1405317Z fi
2025-06-05T23:19:23.1405498Z '
2025-06-05T23:19:23.1405769Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-06-05T23:19:23.1407623Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-06-05T23:19:43.6141468Z Running command: 
2025-06-05T23:19:43.6148807Z         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_edadbdc4-d677-41ab-ab49-41a0bce90fb0":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_edadbdc4-d677-41ab-ab49-41a0bce90fb0"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa"
2025-06-05T23:19:43.6154598Z         
2025-06-05T23:19:43.6154935Z f84d3c87804ca7c83dd6324f81ff328317aa1bcf08d07fda16f61c12e99b360c
2025-06-05T23:19:43.6155616Z Running command: docker exec -t f84d3c87804ca7c83dd6324f81ff328317aa1bcf08d07fda16f61c12e99b360c /exec
2025-06-05T23:19:43.6156174Z ++ conda env list --json
2025-06-05T23:19:43.6156424Z ++ local cmd=env
2025-06-05T23:19:43.6156628Z ++ case "$cmd" in
2025-06-05T23:19:43.6156856Z ++ __conda_exe env list --json
2025-06-05T23:19:43.6157113Z ++ jq -r '.envs | .[-1]'
2025-06-05T23:19:43.6157375Z ++ /opt/conda/bin/conda env list --json
2025-06-05T23:19:43.6157677Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-06-05T23:19:43.6158082Z + conda activate /opt/conda/envs/py_3.10
2025-06-05T23:19:43.6158473Z + local cmd=activate
2025-06-05T23:19:43.6158703Z + case "$cmd" in
2025-06-05T23:19:43.6158968Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-06-05T23:19:43.6159282Z + '[' -n '' ']'
2025-06-05T23:19:43.6159493Z + local ask_conda
2025-06-05T23:19:43.6159700Z ++ PS1='(base) '
2025-06-05T23:19:43.6159990Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-06-05T23:19:43.6160454Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-06-05T23:19:43.6160872Z + ask_conda='PS1='\''(py_3.10) '\''
2025-06-05T23:19:43.6161711Z 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'\''
2025-06-05T23:19:43.6162613Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-06-05T23:19:43.6162957Z export CONDA_SHLVL='\''2'\''
2025-06-05T23:19:43.6163227Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-06-05T23:19:43.6163564Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-06-05T23:19:43.6164092Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-06-05T23:19:43.6164425Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-06-05T23:19:43.6164730Z export _CE_M='\'''\''
2025-06-05T23:19:43.6164972Z export _CE_CONDA='\'''\''
2025-06-05T23:19:43.6165272Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-06-05T23:19:43.6165630Z + eval 'PS1='\''(py_3.10) '\''
2025-06-05T23:19:43.6166658Z 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'\''
2025-06-05T23:19:43.6167701Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-06-05T23:19:43.6168049Z export CONDA_SHLVL='\''2'\''
2025-06-05T23:19:43.6168320Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-06-05T23:19:43.6168662Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-06-05T23:19:43.6168992Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-06-05T23:19:43.6169324Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-06-05T23:19:43.6169637Z export _CE_M='\'''\''
2025-06-05T23:19:43.6169863Z export _CE_CONDA='\'''\''
2025-06-05T23:19:43.6170173Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-06-05T23:19:43.6170505Z ++ PS1='(py_3.10) '
2025-06-05T23:19:43.6171282Z ++ 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
2025-06-05T23:19:43.6172614Z ++ 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
2025-06-05T23:19:43.6173553Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-06-05T23:19:43.6173894Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-06-05T23:19:43.6174183Z ++ export CONDA_SHLVL=2
2025-06-05T23:19:43.6174419Z ++ CONDA_SHLVL=2
2025-06-05T23:19:43.6174647Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-06-05T23:19:43.6174946Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-06-05T23:19:43.6175229Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-06-05T23:19:43.6175560Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-06-05T23:19:43.6175855Z ++ export CONDA_PREFIX_1=/opt/conda
2025-06-05T23:19:43.6176149Z ++ CONDA_PREFIX_1=/opt/conda
2025-06-05T23:19:43.6176413Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-06-05T23:19:43.6176723Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-06-05T23:19:43.6176994Z ++ export _CE_M=
2025-06-05T23:19:43.6177200Z ++ _CE_M=
2025-06-05T23:19:43.6177401Z ++ export _CE_CONDA=
2025-06-05T23:19:43.6177613Z ++ _CE_CONDA=
2025-06-05T23:19:43.6177869Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-06-05T23:19:43.6178203Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-06-05T23:19:43.6178503Z + __conda_hashr
2025-06-05T23:19:43.6178705Z + '[' -n '' ']'
2025-06-05T23:19:43.6178917Z + '[' -n '' ']'
2025-06-05T23:19:43.6179110Z + hash -r
2025-06-05T23:19:43.6179371Z + ./install_requirements.sh --use-pt-pinned-commit
2025-06-05T23:19:43.6179943Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-06-05T23:19:43.6180736Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.8.0a0+git5616fa4)
2025-06-05T23:19:43.6181636Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.22.0a0+966da7e)
2025-06-05T23:19:43.6182524Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+1a8f621)
2025-06-05T23:19:43.6183243Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-06-05T23:19:43.6183748Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-06-05T23:19:43.6184714Z 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)
2025-06-05T23:19:43.6185596Z Collecting torchtune>=0.6.1 (from -r requirements-examples.txt (line 5))
2025-06-05T23:19:43.6186131Z   Downloading torchtune-0.6.1-py3-none-any.whl.metadata (24 kB)
2025-06-05T23:19:43.6187015Z 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)
2025-06-05T23:19:43.6187970Z Collecting cmake<4.0.0,>=3.19 (from -r requirements-dev.txt (line 1))
2025-06-05T23:19:43.6188614Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
2025-06-05T23:19:43.6189721Z 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)
2025-06-05T23:19:43.6190803Z 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)
2025-06-05T23:19:43.6191933Z 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)
2025-06-05T23:19:43.6193061Z 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)
2025-06-05T23:19:43.6194141Z 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)
2025-06-05T23:19:43.6195231Z 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)
2025-06-05T23:19:43.6196433Z 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)
2025-06-05T23:19:43.6197715Z 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)
2025-06-05T23:19:43.6199022Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (3.18.0)
2025-06-05T23:19:43.6200325Z Requirement already satisfied: numpy>=1.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 6)) (2.2.6)
2025-06-05T23:19:43.6201657Z 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)
2025-06-05T23:19:43.6203036Z 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)
2025-06-05T23:19:43.6204377Z 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)
2025-06-05T23:19:43.6205744Z 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)
2025-06-05T23:19:43.6207089Z 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)
2025-06-05T23:19:46.5782679Z Requirement already satisfied: fsspec>=2023.5.0 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)) (2025.5.1)
2025-06-05T23:19:46.5784350Z Requirement already satisfied: typing-extensions>=3.7.4.3 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)) (4.14.0)
2025-06-05T23:19:46.5785801Z 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)
2025-06-05T23:19:46.5786955Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.14.0)
2025-06-05T23:19:46.5787951Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-06-05T23:19:46.5788840Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-06-05T23:19:46.5789772Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision) (11.2.1)
2025-06-05T23:19:46.5790917Z Collecting torchdata==0.11.0 (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5791533Z   Downloading torchdata-0.11.0-py3-none-any.whl.metadata (6.3 kB)
2025-06-05T23:19:46.5792105Z Collecting datasets (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5792693Z   Downloading datasets-3.6.0-py3-none-any.whl.metadata (19 kB)
2025-06-05T23:19:46.5793257Z Collecting kagglehub (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5793856Z   Downloading kagglehub-0.3.12-py3-none-any.whl.metadata (38 kB)
2025-06-05T23:19:46.5794461Z Collecting sentencepiece (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5795419Z   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)
2025-06-05T23:19:46.5798420Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.3 MB ? eta -:--:--
2025-06-05T23:19:46.5799189Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 147.4 MB/s eta 0:00:00
2025-06-05T23:19:46.5799893Z [?25hCollecting tiktoken (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5800638Z   Downloading tiktoken-0.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)
2025-06-05T23:19:46.5801358Z Collecting blobfile>=2 (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5802220Z   Downloading https://download.pytorch.org/whl/nightly/blobfile-3.0.0-py3-none-any.whl (75 kB)
2025-06-05T23:19:46.5802919Z Collecting omegaconf (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5803633Z   Downloading https://download.pytorch.org/whl/nightly/omegaconf-2.3.0-py3-none-any.whl (79 kB)
2025-06-05T23:19:46.5804383Z Collecting psutil (from torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5805660Z   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)
2025-06-05T23:19:46.5806918Z Requirement already satisfied: urllib3>=1.25 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchdata==0.11.0->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (2.4.0)
2025-06-05T23:19:46.5808027Z Collecting pycryptodomex>=3.8 (from blobfile>=2->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5808862Z   Downloading pycryptodomex-3.23.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.4 kB)
2025-06-05T23:19:46.5809978Z Requirement already satisfied: lxml>=4.9 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from blobfile>=2->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (5.4.0)
2025-06-05T23:19:46.5811154Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch) (1.3.0)
2025-06-05T23:19:46.5812114Z Collecting pyarrow>=15.0.0 (from datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5812879Z   Downloading pyarrow-20.0.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (3.3 kB)
2025-06-05T23:19:46.5813617Z Collecting dill<0.3.9,>=0.3.0 (from datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5814359Z   Downloading https://download.pytorch.org/whl/nightly/dill-0.3.8-py3-none-any.whl (116 kB)
2025-06-05T23:19:46.5815402Z Requirement already satisfied: pandas in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (2.2.3)
2025-06-05T23:19:46.5816425Z Collecting xxhash (from datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5817327Z   Downloading https://download.pytorch.org/whl/nightly/xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)
2025-06-05T23:19:46.5818472Z Collecting multiprocess<0.70.17 (from datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5819304Z   Downloading https://download.pytorch.org/whl/nightly/multiprocess-0.70.16-py310-none-any.whl (134 kB)
2025-06-05T23:19:46.5820097Z Collecting fsspec>=2023.5.0 (from huggingface_hub->timm==1.0.7->-r requirements-examples.txt (line 3))
2025-06-05T23:19:46.5820735Z   Downloading fsspec-2025.3.0-py3-none-any.whl.metadata (11 kB)
2025-06-05T23:19:46.5821490Z Collecting aiohttp!=4.0.0a0,!=4.0.0a1 (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5822373Z   Downloading aiohttp-3.12.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.6 kB)
2025-06-05T23:19:46.5823359Z Collecting aiohappyeyeballs>=2.5.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5824242Z   Downloading aiohappyeyeballs-2.6.1-py3-none-any.whl.metadata (5.9 kB)
2025-06-05T23:19:46.5825094Z Collecting aiosignal>=1.1.2 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5825921Z   Downloading aiosignal-1.3.2-py2.py3-none-any.whl.metadata (3.8 kB)
2025-06-05T23:19:46.5826751Z Collecting async-timeout<6.0,>=4.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5827675Z   Downloading async_timeout-5.0.1-py3-none-any.whl.metadata (5.1 kB)
2025-06-05T23:19:46.5828811Z Requirement already satisfied: attrs>=17.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (25.3.0)
2025-06-05T23:19:46.5830244Z Collecting frozenlist>=1.1.1 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5831355Z   Downloading frozenlist-1.6.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (17 kB)
2025-06-05T23:19:46.5832444Z Collecting multidict<7.0,>=4.5 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5833398Z   Downloading multidict-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.3 kB)
2025-06-05T23:19:46.5834351Z Collecting propcache>=0.2.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5835286Z   Downloading propcache-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)
2025-06-05T23:19:46.5836219Z Collecting yarl<2.0,>=1.17.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5837116Z   Downloading yarl-1.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (72 kB)
2025-06-05T23:19:46.5838384Z Requirement already satisfied: idna>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from yarl<2.0,>=1.17.0->aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (3.10)
2025-06-05T23:19:46.5840032Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 6)) (3.4.2)
2025-06-05T23:19:46.5841541Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 6)) (2025.4.26)
2025-06-05T23:19:46.5842861Z Collecting hf-transfer>=0.1.4 (from huggingface_hub[hf_transfer]->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:46.5843724Z   Downloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB)
2025-06-05T23:19:46.5844632Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-06-05T23:19:49.1670316Z Collecting antlr4-python3-runtime==4.9.* (from omegaconf->torchtune>=0.6.1->-r requirements-examples.txt (line 5))
2025-06-05T23:19:49.1671297Z   Downloading https://download.pytorch.org/whl/nightly/antlr4_python3_runtime-4.9.3.tar.gz (117 kB)
2025-06-05T23:19:49.1672139Z   Preparing metadata (setup.py) ... [?25l- done
2025-06-05T23:19:49.1673373Z [?25hRequirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (2.9.0.post0)
2025-06-05T23:19:49.1674951Z Requirement already satisfied: pytz>=2020.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (2025.2)
2025-06-05T23:19:49.1676403Z Requirement already satisfied: tzdata>=2022.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (2025.2)
2025-06-05T23:19:49.1677899Z Requirement already satisfied: six>=1.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas->datasets->torchtune>=0.6.1->-r requirements-examples.txt (line 5)) (1.17.0)
2025-06-05T23:19:49.1678888Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-06-05T23:19:49.1679500Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-06-05T23:19:49.1680155Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 122.0 MB/s eta 0:00:00
2025-06-05T23:19:49.1680912Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)
2025-06-05T23:19:49.1681750Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.8 MB ? eta -:--:--
2025-06-05T23:19:49.1682425Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.8/27.8 MB 209.7 MB/s eta 0:00:00
2025-06-05T23:19:49.1683004Z [?25hDownloading torchtune-0.6.1-py3-none-any.whl (910 kB)
2025-06-05T23:19:49.1683684Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/910.7 kB ? eta -:--:--
2025-06-05T23:19:49.1684368Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 910.7/910.7 kB 113.9 MB/s eta 0:00:00
2025-06-05T23:19:49.1684936Z [?25hDownloading torchdata-0.11.0-py3-none-any.whl (61 kB)
2025-06-05T23:19:49.1685562Z Downloading pycryptodomex-3.23.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)
2025-06-05T23:19:49.1686373Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-06-05T23:19:49.1687013Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 204.2 MB/s eta 0:00:00
2025-06-05T23:19:49.1687572Z [?25hDownloading datasets-3.6.0-py3-none-any.whl (491 kB)
2025-06-05T23:19:49.1687996Z Downloading fsspec-2025.3.0-py3-none-any.whl (193 kB)
2025-06-05T23:19:49.1688569Z Downloading aiohttp-3.12.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)
2025-06-05T23:19:49.1689303Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.6 MB ? eta -:--:--
2025-06-05T23:19:49.1689961Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 194.4 MB/s eta 0:00:00
2025-06-05T23:19:49.1690541Z [?25hDownloading async_timeout-5.0.1-py3-none-any.whl (6.2 kB)
2025-06-05T23:19:49.1691389Z Downloading multidict-6.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (219 kB)
2025-06-05T23:19:49.1692233Z Downloading yarl-1.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (333 kB)
2025-06-05T23:19:49.1692824Z Downloading aiohappyeyeballs-2.6.1-py3-none-any.whl (15 kB)
2025-06-05T23:19:49.1693313Z Downloading aiosignal-1.3.2-py2.py3-none-any.whl (7.6 kB)
2025-06-05T23:19:49.1694065Z Downloading frozenlist-1.6.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (224 kB)
2025-06-05T23:19:49.1694944Z Downloading propcache-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (206 kB)
2025-06-05T23:19:49.1695615Z Downloading pyarrow-20.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (42.3 MB)
2025-06-05T23:19:49.1696288Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/42.3 MB ? eta -:--:--
2025-06-05T23:19:49.1696962Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.3/42.3 MB 316.8 MB/s eta 0:00:00
2025-06-05T23:19:49.1697738Z [?25hDownloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
2025-06-05T23:19:49.1698489Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/3.6 MB ? eta -:--:--
2025-06-05T23:19:49.1699143Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 195.4 MB/s eta 0:00:00
2025-06-05T23:19:49.1699695Z [?25hDownloading kagglehub-0.3.12-py3-none-any.whl (67 kB)
2025-06-05T23:19:49.1700418Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-06-05T23:19:49.1701286Z Downloading tiktoken-0.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)
2025-06-05T23:19:49.1702016Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.2 MB ? eta -:--:--
2025-06-05T23:19:49.1702754Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 155.1 MB/s eta 0:00:00
2025-06-05T23:19:49.1703375Z [?25hBuilding wheels for collected packages: antlr4-python3-runtime
2025-06-05T23:19:49.1705909Z   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
2025-06-05T23:19:49.1708231Z   Building wheel for antlr4-python3-runtime (setup.py) ... [?25l- done
2025-06-05T23:19:49.1709422Z [?25h  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144590 sha256=5568ceb1542b9dd69e31b3c3cda06d438a5c33dd633cde63de319a5ab4389d3e
2025-06-05T23:19:49.1710779Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/8e/0c/ef/6e1004d7898c3e61c08b70be9a80232ee72e7c55c9a9bffa33
2025-06-05T23:19:49.1711435Z Successfully built antlr4-python3-runtime
2025-06-05T23:19:49.1712909Z Installing collected packages: sentencepiece, antlr4-python3-runtime, xxhash, pycryptodomex, pyarrow, psutil, propcache, omegaconf, multidict, hf-transfer, fsspec, frozenlist, dill, cmake, async-timeout, aiohappyeyeballs, yarl, tiktoken, multiprocess, kagglehub, blobfile, aiosignal, torchdata, aiohttp, timm, datasets, torchtune
2025-06-05T23:19:49.1714392Z [?25l
2025-06-05T23:19:49.1714851Z    ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/27 [pycryptodomex]
2025-06-05T23:19:49.1715476Z    ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/27 [pycryptodomex]
2025-06-05T23:19:49.1716085Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:49.1716763Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:49.1717361Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:57.7624638Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:57.7625416Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:57.7626153Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow]
2025-06-05T23:19:57.7626753Z    ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/27 [psutil]
2025-06-05T23:19:57.7627389Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [hf-transfer]
2025-06-05T23:19:57.7628092Z   Attempting uninstall: fsspec
2025-06-05T23:19:57.7628661Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [hf-transfer]
2025-06-05T23:19:57.7629194Z     Found existing installation: fsspec 2025.5.1
2025-06-05T23:19:57.7629738Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [hf-transfer]
2025-06-05T23:19:57.7630203Z     Uninstalling fsspec-2025.5.1:
2025-06-05T23:19:57.7630697Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [hf-transfer]
2025-06-05T23:19:57.7631187Z       Successfully uninstalled fsspec-2025.5.1
2025-06-05T23:19:57.7631733Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [hf-transfer]
2025-06-05T23:19:57.7632333Z    ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 11/27 [frozenlist]
2025-06-05T23:19:57.7632939Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7633517Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7634515Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7635112Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7659916Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7660764Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake]
2025-06-05T23:19:57.7661398Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [async-timeout]
2025-06-05T23:19:57.7662045Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [aiohappyeyeballs]
2025-06-05T23:19:57.7662652Z    ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 16/27 [yarl]
2025-06-05T23:19:57.7663261Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [multiprocess]
2025-06-05T23:19:57.7664213Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [kagglehub]
2025-06-05T23:19:57.7664896Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp]
2025-06-05T23:19:57.7665352Z   Attempting uninstall: timm
2025-06-05T23:19:57.7665831Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp]
2025-06-05T23:19:57.7666311Z     Found existing installation: timm 0.6.13
2025-06-05T23:19:57.7666825Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp]
2025-06-05T23:19:57.7667273Z     Uninstalling timm-0.6.13:
2025-06-05T23:19:57.7667836Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp]
2025-06-05T23:19:57.7668421Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm]
2025-06-05T23:19:57.7668916Z       Successfully uninstalled timm-0.6.13
2025-06-05T23:19:57.7669439Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm]
2025-06-05T23:19:57.7670005Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm]
2025-06-05T23:19:57.7670556Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm]
2025-06-05T23:19:57.7671115Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm]
2025-06-05T23:19:57.7671695Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [datasets]
2025-06-05T23:19:57.7672279Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torchtune]
2025-06-05T23:19:57.7672875Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torchtune]
2025-06-05T23:19:57.7673639Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27/27 [torchtune]
2025-06-05T23:19:57.7674019Z [?25h
2025-06-05T23:19:57.7676347Z 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 psutil-7.0.0 pyarrow-20.0.0 pycryptodomex-3.23.0 sentencepiece-0.2.0 tiktoken-0.9.0 timm-1.0.7 torchdata-0.11.0 torchtune-0.6.1 xxhash-3.5.0 yarl-1.20.0
2025-06-05T23:19:57.7678441Z Processing ./third-party/ao
2025-06-05T23:19:57.7678826Z   Preparing metadata (setup.py) ... [?25l- done
2025-06-05T23:19:57.7679250Z [?25hProcessing ./extension/llm/tokenizers
2025-06-05T23:19:57.7679700Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-06-05T23:19:57.7680612Z [?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)
2025-06-05T23:19:57.7681704Z 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)
2025-06-05T23:19:57.7682801Z 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)
2025-06-05T23:19:57.7683954Z 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)
2025-06-05T23:19:57.7685125Z 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)
2025-06-05T23:19:57.7686421Z 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)
2025-06-05T23:19:57.7687745Z 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)
2025-06-05T23:20:04.4915817Z 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)
2025-06-05T23:20:04.4917671Z 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)
2025-06-05T23:20:04.4919135Z 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)
2025-06-05T23:20:04.4920471Z 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)
2025-06-05T23:20:04.4922762Z 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)
2025-06-05T23:20:04.4924177Z 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)
2025-06-05T23:20:04.4925554Z 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)
2025-06-05T23:20:04.4926913Z 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)
2025-06-05T23:20:04.4928324Z 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)
2025-06-05T23:20:04.4929768Z 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)
2025-06-05T23:20:04.4930722Z Building wheels for collected packages: torchao, pytorch_tokenizers
2025-06-05T23:20:04.4933229Z   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
2025-06-05T23:20:04.4935318Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - done
2025-06-05T23:20:04.4936515Z [?25h  Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-linux_x86_64.whl size=955965 sha256=f3b2f53f967f92c35fcad6dab078153c79177fb2a9cc1425d7c3b38acfbece54
2025-06-05T23:20:04.4937741Z   Stored in directory: /tmp/pip-ephem-wheel-cache-7tgmvhlh/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-06-05T23:20:04.4938627Z   Building wheel for pytorch_tokenizers (pyproject.toml) ... [?25l- \ done
2025-06-05T23:20:04.4939775Z [?25h  Created wheel for pytorch_tokenizers: filename=pytorch_tokenizers-0.1.0-py3-none-any.whl size=10999 sha256=5e63aac1b6283145a52287093e346c974a9236d198bb76b3f116bbbffc670593
2025-06-05T23:20:04.4940976Z   Stored in directory: /tmp/pip-ephem-wheel-cache-7tgmvhlh/wheels/27/7b/a1/358699b32a468639d6f9ef263f9676280bc5ee318b0bd9a0b2
2025-06-05T23:20:04.4941673Z Successfully built torchao pytorch_tokenizers
2025-06-05T23:20:04.4942095Z Installing collected packages: torchao, pytorch_tokenizers
2025-06-05T23:20:04.4942471Z [?25l
2025-06-05T23:20:04.4942853Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:20:04.4943365Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:20:04.4943864Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao]
2025-06-05T23:20:04.4944451Z    ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 1/2 [pytorch_tokenizers]
2025-06-05T23:20:04.4945032Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2/2 [pytorch_tokenizers]
2025-06-05T23:20:04.4945412Z [?25h
2025-06-05T23:20:04.4945842Z Successfully installed pytorch_tokenizers-0.1.0 torchao-0.12.0+gitbc68b11
2025-06-05T23:20:04.4946311Z + bash test/build_size_test.sh
2025-06-05T23:20:04.4946580Z Installing libexecutorch.a
2025-06-05T23:20:04.4946852Z Cleaning build artifacts...
2025-06-05T23:20:04.4947109Z Cleaning pip-out/...
2025-06-05T23:20:04.4947363Z Done cleaning build artifacts.
2025-06-05T23:20:04.4947741Z Updating tokenizers git submodule...
2025-06-05T23:20:04.4948250Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch
2025-06-05T23:20:04.4948750Z /pytorch/executorch
2025-06-05T23:20:04.4949011Z -- The C compiler identification is GNU 9.5.0
2025-06-05T23:20:04.4949381Z -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:20:04.4949713Z -- Detecting C compiler ABI info
2025-06-05T23:20:04.4950014Z -- Detecting C compiler ABI info - done
2025-06-05T23:20:04.4950387Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:20:04.4950772Z -- Detecting C compile features
2025-06-05T23:20:04.4951055Z -- Detecting C compile features - done
2025-06-05T23:20:04.4951370Z -- Detecting CXX compiler ABI info
2025-06-05T23:20:04.4951682Z -- Detecting CXX compiler ABI info - done
2025-06-05T23:20:04.4952060Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:20:04.4952449Z -- Detecting CXX compile features
2025-06-05T23:20:04.4952742Z -- Detecting CXX compile features - done
2025-06-05T23:20:04.4953066Z -- --- Configured Options ---
2025-06-05T23:20:04.4953243Z 
2025-06-05T23:20:04.4953364Z -- CMAKE_CXX_STANDARD                      : 17
2025-06-05T23:20:04.4953716Z -- CMAKE_SYSTEM_PROCESSOR                  : x86_64
2025-06-05T23:20:04.4954082Z -- CMAKE_BUILD_TYPE                        : Release
2025-06-05T23:20:04.4954438Z -- PYTHON_EXECUTABLE                       : python3
2025-06-05T23:20:04.4954795Z -- CMAKE_CXX_COMPILER_ID                   : GNU
2025-06-05T23:20:04.4955139Z -- CMAKE_TOOLCHAIN_FILE                    x (unset)
2025-06-05T23:20:04.4955483Z -- BUCK2                                   : 
2025-06-05T23:20:04.4955807Z -- EXECUTORCH_ENABLE_LOGGING               : OFF
2025-06-05T23:20:04.4956159Z -- EXECUTORCH_BUILD_COREML                 : OFF
2025-06-05T23:20:04.4956509Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT    : 1024
2025-06-05T23:20:04.4956884Z -- EXECUTORCH_PAL_DEFAULT                  : posix
2025-06-05T23:20:04.4957420Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH        : /pytorch/executorch/runtime/platform/default/posix.cpp
2025-06-05T23:20:04.4957958Z -- EXECUTORCH_LOG_LEVEL                    : Info
2025-06-05T23:20:04.4958325Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION  : OFF
2025-06-05T23:20:04.4958682Z -- EXECUTORCH_ENABLE_EVENT_TRACER          : OFF
2025-06-05T23:20:04.4959041Z -- EXECUTORCH_OPTIMIZE_SIZE                : ON
2025-06-05T23:20:04.4959383Z -- EXECUTORCH_BUILD_ARM_BAREMETAL          : OFF
2025-06-05T23:20:04.4959744Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM         : OFF
2025-06-05T23:20:04.4960088Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT     : OFF
2025-06-05T23:20:04.4960451Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT  : OFF
2025-06-05T23:20:04.4960819Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER  : OFF
2025-06-05T23:20:04.4961167Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR  : OFF
2025-06-05T23:20:04.4961524Z -- EXECUTORCH_BUILD_EXTENSION_LLM          : OFF
2025-06-05T23:20:04.4961866Z -- EXECUTORCH_BUILD_EXTENSION_MODULE       : OFF
2025-06-05T23:20:04.4962229Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL  : OFF
2025-06-05T23:20:04.4962575Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR       : OFF
2025-06-05T23:20:04.4962939Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING     : OFF
2025-06-05T23:20:04.4963284Z -- EXECUTORCH_BUILD_EXTENSION_APPLE        : OFF
2025-06-05T23:20:04.4963633Z -- EXECUTORCH_BUILD_MPS                    : OFF
2025-06-05T23:20:04.4964180Z -- EXECUTORCH_BUILD_NEURON                 : OFF
2025-06-05T23:20:04.4964518Z -- EXECUTORCH_BUILD_OPENVINO               : OFF
2025-06-05T23:20:04.4964871Z -- EXECUTORCH_BUILD_PYBIND                 : OFF
2025-06-05T23:20:04.4965203Z -- EXECUTORCH_BUILD_QNN                    : OFF
2025-06-05T23:20:04.4965555Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED      : OFF
2025-06-05T23:20:04.4965903Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED      : OFF
2025-06-05T23:20:04.4966259Z -- EXECUTORCH_BUILD_DEVTOOLS               : OFF
2025-06-05T23:20:04.4966606Z -- EXECUTORCH_BUILD_TESTS                  : OFF
2025-06-05T23:20:04.4966935Z -- EXECUTORCH_NNLIB_OPT                    : OFF
2025-06-05T23:20:04.4967433Z -- EXECUTORCH_CADENCE_CPU_RUNNER           : OFF
2025-06-05T23:20:04.4967860Z -- EXECUTORCH_BUILD_SIZE_TEST              : OFF
2025-06-05T23:20:04.4968214Z -- EXECUTORCH_BUILD_XNNPACK                : OFF
2025-06-05T23:20:04.4968549Z -- EXECUTORCH_BUILD_VULKAN                 : OFF
2025-06-05T23:20:04.4968905Z -- EXECUTORCH_BUILD_PORTABLE_OPS           : ON
2025-06-05T23:20:04.4969240Z -- EXECUTORCH_USE_DL                       : ON
2025-06-05T23:20:04.4969589Z -- EXECUTORCH_BUILD_CADENCE                : OFF
2025-06-05T23:20:04.4969938Z -- EXECUTORCH_BUILD_CORTEX_M               : OFF
2025-06-05T23:20:04.4970270Z -- EXECUTORCH_BUILD_GFLAGS                 : ON
2025-06-05T23:20:04.4970623Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF
2025-06-05T23:20:04.4970971Z -- EXECUTORCH_BUILD_PTHREADPOOL            : ON
2025-06-05T23:20:04.4971321Z -- EXECUTORCH_BUILD_CPUINFO                : ON
2025-06-05T23:20:04.4971697Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER        : OFF
2025-06-05T23:20:04.4972130Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE     : ON
2025-06-05T23:20:04.4972482Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI        : OFF
2025-06-05T23:20:04.4972846Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE  : OFF
2025-06-05T23:20:04.4973174Z -- --------------------------
2025-06-05T23:20:04.4973582Z -- Using the multi-header code from /pytorch/executorch/third-party/json/include/
2025-06-05T23:20:04.4974421Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-06-05T23:20:04.4975055Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:04.4975471Z   CMake.
2025-06-05T23:20:04.4975580Z 
2025-06-05T23:20:04.4975798Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:04.4976346Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.5959837Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.5960415Z 
2025-06-05T23:20:09.5960792Z 
2025-06-05T23:20:09.5961326Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-06-05T23:20:09.5962149Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-06-05T23:20:09.5962906Z -- Setting GNU C compiler options with c11 and Posix
2025-06-05T23:20:09.5963469Z -- Disabling -pedantic for GCC >= 8.0
2025-06-05T23:20:09.5964402Z -- Disabling GNU C compiler warnings: -Wstringop-truncation -Wno-format-overflow
2025-06-05T23:20:09.5965196Z -- GCC_VERSION: 9
2025-06-05T23:20:09.5965450Z 
2025-06-05T23:20:09.5966779Z -- 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
2025-06-05T23:20:09.5969286Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:20:09.5970087Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:09.5970845Z   CMake.
2025-06-05T23:20:09.5971108Z 
2025-06-05T23:20:09.5971476Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:09.5972106Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.5972590Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.5972841Z 
2025-06-05T23:20:09.5972970Z 
2025-06-05T23:20:09.5973579Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:20:09.5974378Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:09.5974781Z   CMake.
2025-06-05T23:20:09.5974905Z 
2025-06-05T23:20:09.5975123Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:09.5975935Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.5976728Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.5977394Z 
2025-06-05T23:20:09.5977595Z 
2025-06-05T23:20:09.5978112Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-06-05T23:20:09.5978767Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-06-05T23:20:09.5979346Z -- Found Threads: TRUE
2025-06-05T23:20:09.5980608Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-06-05T23:20:09.5981954Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:09.5982682Z   CMake.
2025-06-05T23:20:09.5982879Z 
2025-06-05T23:20:09.5983294Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:09.5984289Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.5984858Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.5985116Z 
2025-06-05T23:20:09.5985264Z 
2025-06-05T23:20:09.5985481Z -- Resolved buck2 as buck2.
2025-06-05T23:20:09.5985762Z -- Killing buck2 daemon
2025-06-05T23:20:09.5986009Z 'buck2 killall'
2025-06-05T23:20:09.5986273Z -- executorch: Generating source lists
2025-06-05T23:20:09.5986783Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-06-05T23:20:09.5987467Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-06-05T23:20:09.5988031Z -- Generating operator lib:
2025-06-05T23:20:09.5988319Z --   LIB_NAME: portable_ops_lib
2025-06-05T23:20:09.5988716Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-06-05T23:20:09.5989141Z --   ROOT_OPS: 
2025-06-05T23:20:09.5989360Z --   INCLUDE_ALL_OPS: 
2025-06-05T23:20:09.5990628Z Command - python3;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml"
2025-06-05T23:20:09.5991876Z -- Generating kernel bindings:
2025-06-05T23:20:09.5992158Z --   LIB_NAME: portable_ops_lib
2025-06-05T23:20:09.5992570Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-06-05T23:20:09.5992999Z --   CUSTOM_OPS_YAML: 
2025-06-05T23:20:09.5993253Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-06-05T23:20:09.5994952Z Generated files /pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h
2025-06-05T23:20:09.5996425Z -- Generating operator lib:
2025-06-05T23:20:09.5996702Z --   LIB_NAME: portable_ops_lib
2025-06-05T23:20:09.5996978Z --   KERNEL_LIBS: portable_kernels
2025-06-05T23:20:09.5997273Z --   DEPS: executorch_core
2025-06-05T23:20:09.5997847Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-06-05T23:20:09.5998492Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:09.5998908Z   CMake.
2025-06-05T23:20:09.5999026Z 
2025-06-05T23:20:09.5999245Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:09.5999799Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.6000264Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.6000526Z 
2025-06-05T23:20:09.6000627Z 
2025-06-05T23:20:09.6000847Z -- Looking for C++ include unistd.h
2025-06-05T23:20:09.6001154Z -- Looking for C++ include unistd.h - found
2025-06-05T23:20:09.6001482Z -- Looking for C++ include stdint.h
2025-06-05T23:20:09.6001788Z -- Looking for C++ include stdint.h - found
2025-06-05T23:20:09.6002116Z -- Looking for C++ include inttypes.h
2025-06-05T23:20:09.6002434Z -- Looking for C++ include inttypes.h - found
2025-06-05T23:20:09.6002770Z -- Looking for C++ include sys/types.h
2025-06-05T23:20:09.6003224Z -- Looking for C++ include sys/types.h - found
2025-06-05T23:20:09.6003561Z -- Looking for C++ include sys/stat.h
2025-06-05T23:20:09.6003973Z -- Looking for C++ include sys/stat.h - found
2025-06-05T23:20:09.6004295Z -- Looking for C++ include fnmatch.h
2025-06-05T23:20:09.6004616Z -- Looking for C++ include fnmatch.h - found
2025-06-05T23:20:09.6004932Z -- Looking for C++ include stddef.h
2025-06-05T23:20:09.6005246Z -- Looking for C++ include stddef.h - found
2025-06-05T23:20:09.6005552Z -- Check size of uint32_t
2025-06-05T23:20:09.6005823Z -- Check size of uint32_t - done
2025-06-05T23:20:09.6006095Z -- Looking for strtoll
2025-06-05T23:20:09.6006362Z -- Looking for strtoll - found
2025-06-05T23:20:09.6006987Z -- Configuring done (5.3s)
2025-06-05T23:20:09.6007442Z -- Generating done (0.1s)
2025-06-05T23:20:09.6008000Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-06-05T23:20:09.6009045Z [  0%] Creating directories for 'flatbuffers_external_project'
2025-06-05T23:20:09.6010087Z [  0%] Creating directories for 'flatcc_external_project'
2025-06-05T23:20:09.6011503Z [  1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o
2025-06-05T23:20:09.6013353Z [  1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o
2025-06-05T23:20:09.6014543Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-06-05T23:20:09.6015595Z [  1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
2025-06-05T23:20:09.6016569Z [  1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
2025-06-05T23:20:09.6017468Z [  2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-06-05T23:20:09.6018442Z [  2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o
2025-06-05T23:20:09.6019230Z [  2%] No download step for 'flatbuffers_external_project'
2025-06-05T23:20:09.6019841Z [  3%] No download step for 'flatcc_external_project'
2025-06-05T23:20:09.6020352Z [  3%] No update step for 'flatcc_external_project'
2025-06-05T23:20:09.6020854Z [  4%] No update step for 'flatbuffers_external_project'
2025-06-05T23:20:09.6021362Z [  5%] No patch step for 'flatcc_external_project'
2025-06-05T23:20:09.6021852Z [  5%] No patch step for 'flatbuffers_external_project'
2025-06-05T23:20:09.6022419Z [  5%] Performing configure step for 'flatcc_external_project'
2025-06-05T23:20:09.6022864Z CMake Warning:
2025-06-05T23:20:09.6023166Z   Ignoring empty string ("") provided on the command line.
2025-06-05T23:20:09.6023436Z 
2025-06-05T23:20:09.6023549Z 
2025-06-05T23:20:09.6023966Z [  5%] Performing configure step for 'flatbuffers_external_project'
2025-06-05T23:20:09.6024625Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required):
2025-06-05T23:20:09.6025182Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-06-05T23:20:09.6025600Z   CMake.
2025-06-05T23:20:09.6025712Z 
2025-06-05T23:20:09.6025946Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-06-05T23:20:09.6026485Z   to tell CMake that the project requires at least <min> but has been updated
2025-06-05T23:20:09.6026965Z   to work with policies introduced by <max> or earlier.
2025-06-05T23:20:09.6027214Z 
2025-06-05T23:20:09.6027316Z 
2025-06-05T23:20:09.6027549Z CMake Warning:
2025-06-05T23:20:09.6027941Z   Ignoring empty string ("") provided on the command line.
2025-06-05T23:20:09.6028224Z 
2025-06-05T23:20:09.6028328Z 
2025-06-05T23:20:09.6028577Z fatal: No names found, cannot describe anything.
2025-06-05T23:20:09.6029024Z CMake Warning at CMake/Version.cmake:32 (message):
2025-06-05T23:20:09.6029542Z   git describe failed with exit code: 128
2025-06-05T23:20:09.6029757Z 
2025-06-05T23:20:09.6030027Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-06-05T23:20:09.6030511Z Call Stack (most recent call first):
2025-06-05T23:20:09.6030949Z   CMakeLists.txt:5 (include)
2025-06-05T23:20:09.6031149Z 
2025-06-05T23:20:09.6031271Z 
2025-06-05T23:20:09.6031483Z -- Proceeding with version: 24.3.25.0
2025-06-05T23:20:09.6032200Z [  5%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o
2025-06-05T23:20:09.6033156Z [  5%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o
2025-06-05T23:20:09.6034096Z [  6%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o
2025-06-05T23:20:09.6035125Z [  6%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/init.c.o
2025-06-05T23:20:09.6036334Z [  6%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
2025-06-05T23:20:09.6037070Z -- The C compiler identification is GNU 9.5.0
2025-06-05T23:20:09.6037447Z -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:20:09.6037786Z -- Detecting C compiler ABI info
2025-06-05T23:20:09.6038660Z [  7%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o
2025-06-05T23:20:09.6039628Z -- Detecting CXX compiler ABI info
2025-06-05T23:20:09.6040605Z [  7%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/info.c.o
2025-06-05T23:20:09.6042325Z [  8%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/vendor.c.o
2025-06-05T23:20:09.6043599Z [  8%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o
2025-06-05T23:20:09.6044678Z [  9%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
2025-06-05T23:20:10.1219972Z [  9%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/uarch.c.o
2025-06-05T23:20:10.1220803Z [ 10%] Linking CXX static library libgflags_nothreads.a
2025-06-05T23:20:10.1221619Z [ 10%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/name.c.o
2025-06-05T23:20:10.1222578Z [ 10%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/log.c.o
2025-06-05T23:20:10.1223136Z [ 10%] Built target gflags_nothreads_static
2025-06-05T23:20:10.1223815Z [ 10%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o
2025-06-05T23:20:10.1224770Z [ 11%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o
2025-06-05T23:20:10.1225741Z [ 11%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/vendor.c.o
2025-06-05T23:20:10.1226687Z [ 11%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/uarch.c.o
2025-06-05T23:20:10.1227277Z -- Detecting C compiler ABI info - done
2025-06-05T23:20:10.1228101Z [ 11%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o
2025-06-05T23:20:10.1229092Z [ 12%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/name.c.o
2025-06-05T23:20:10.1229726Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:20:10.1230111Z -- Detecting C compile features
2025-06-05T23:20:10.1230394Z -- Detecting C compile features - done
2025-06-05T23:20:10.1231089Z [ 12%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/topology.c.o
2025-06-05T23:20:10.1231895Z -- Detecting CXX compiler ABI info - done
2025-06-05T23:20:10.1232397Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-06-05T23:20:10.1232850Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-06-05T23:20:10.1233666Z [ 13%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/topology.c.o
2025-06-05T23:20:10.1234357Z -- Setting GNU C compiler options with c11 and Posix
2025-06-05T23:20:10.1234713Z -- Disabling -pedantic for GCC >= 8.0
2025-06-05T23:20:10.1235270Z -- Disabling GNU C compiler warnings: -Wstringop-truncation -Wno-format-overflow
2025-06-05T23:20:10.1235715Z -- GCC_VERSION: 9
2025-06-05T23:20:10.1235864Z 
2025-06-05T23:20:10.1236618Z -- 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
2025-06-05T23:20:10.1237524Z -- Configuring done (0.3s)
2025-06-05T23:20:10.1238161Z [ 13%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/isa.c.o
2025-06-05T23:20:10.1239143Z [ 13%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/isa.c.o
2025-06-05T23:20:10.1239825Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:20:10.1240215Z -- Detecting CXX compile features
2025-06-05T23:20:10.1240520Z -- Detecting CXX compile features - done
2025-06-05T23:20:10.1240819Z -- Generating done (0.0s)
2025-06-05T23:20:10.1241464Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/src/flatcc_external_project-build
2025-06-05T23:20:10.1242140Z -- Looking for strtof_l
2025-06-05T23:20:10.1242789Z [ 14%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/init.c.o
2025-06-05T23:20:10.1243545Z [ 14%] Performing build step for 'flatcc_external_project'
2025-06-05T23:20:10.1244380Z [ 14%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/descriptor.c.o
2025-06-05T23:20:10.1245135Z [ 15%] Linking C static library libpthreadpool.a
2025-06-05T23:20:10.1245700Z [  3%] Building C object src/runtime/CMakeFiles/flatccrt.dir/builder.c.o
2025-06-05T23:20:10.1246348Z [  6%] Building C object src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o
2025-06-05T23:20:10.1246978Z [  9%] Building C object src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o
2025-06-05T23:20:10.1247417Z [ 15%] Built target pthreadpool
2025-06-05T23:20:10.1248149Z [ 15%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/init.c.o
2025-06-05T23:20:10.1249002Z [ 12%] Building C object src/runtime/CMakeFiles/flatccrt.dir/verifier.c.o
2025-06-05T23:20:10.1249897Z [ 15%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/deterministic.c.o
2025-06-05T23:20:10.1250767Z [ 15%] Building C object src/runtime/CMakeFiles/flatccrt.dir/json_parser.c.o
2025-06-05T23:20:10.1251612Z [ 16%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/init.c.o
2025-06-05T23:20:10.1252441Z [ 18%] Building C object src/runtime/CMakeFiles/flatccrt.dir/json_printer.c.o
2025-06-05T23:20:10.1253298Z [ 16%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/cpuinfo.c.o
2025-06-05T23:20:10.1254306Z [ 16%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/smallfile.c.o
2025-06-05T23:20:10.1255382Z [ 17%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/descriptor.c.o
2025-06-05T23:20:10.1256365Z [ 21%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/str_set.c.o
2025-06-05T23:20:10.1257396Z [ 18%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o
2025-06-05T23:20:10.1258548Z [ 18%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/deterministic.c.o
2025-06-05T23:20:10.1259253Z -- Looking for strtof_l - found
2025-06-05T23:20:10.1259522Z -- Looking for strtoull_l
2025-06-05T23:20:10.1260235Z [ 18%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/init.c.o
2025-06-05T23:20:10.1261357Z [ 19%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/cpuinfo.c.o
2025-06-05T23:20:10.1262457Z [ 19%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/smallfile.c.o
2025-06-05T23:20:10.1263426Z [ 24%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/ptr_set.c.o
2025-06-05T23:20:10.1264473Z [ 27%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
2025-06-05T23:20:10.1265274Z [ 30%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/symbol_table.c.o
2025-06-05T23:20:10.1266177Z [ 19%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o
2025-06-05T23:20:10.1267219Z [ 19%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/multiline.c.o
2025-06-05T23:20:10.1268403Z [ 20%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/cpulist.c.o
2025-06-05T23:20:10.1269044Z [ 30%] Built target flatccrt
2025-06-05T23:20:10.1269767Z [ 20%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/processors.c.o
2025-06-05T23:20:10.1270841Z [ 20%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/processors.c.o
2025-06-05T23:20:10.1271740Z [ 33%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/scope_table.c.o
2025-06-05T23:20:10.1272536Z [ 36%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/name_table.c.o
2025-06-05T23:20:10.1273326Z [ 39%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/schema_table.c.o
2025-06-05T23:20:10.1274096Z [ 42%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/value_set.c.o
2025-06-05T23:20:10.1274796Z [ 45%] Building C object src/compiler/CMakeFiles/flatcc.dir/fileio.c.o
2025-06-05T23:20:10.1275360Z [ 20%] Linking C static library libcpuinfo_internals.a
2025-06-05T23:20:10.1275938Z [ 48%] Building C object src/compiler/CMakeFiles/flatcc.dir/parser.c.o
2025-06-05T23:20:10.1276592Z [ 51%] Building C object src/compiler/CMakeFiles/flatcc.dir/semantics.c.o
2025-06-05T23:20:10.1277228Z [ 54%] Building C object src/compiler/CMakeFiles/flatcc.dir/coerce.c.o
2025-06-05T23:20:10.1277770Z [ 20%] Linking C static library libcpuinfo.a
2025-06-05T23:20:10.1278111Z [ 20%] Built target cpuinfo_internals
2025-06-05T23:20:10.1278607Z [ 57%] Building C object src/compiler/CMakeFiles/flatcc.dir/flatcc.c.o
2025-06-05T23:20:10.1279236Z [ 60%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c.c.o
2025-06-05T23:20:10.1279926Z [ 63%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_reader.c.o
2025-06-05T23:20:10.1280641Z [ 66%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_sort.c.o
2025-06-05T23:20:10.1281094Z [ 20%] Built target cpuinfo
2025-06-05T23:20:10.1281366Z -- Looking for strtoull_l - found
2025-06-05T23:20:10.1281635Z -- Looking for realpath
2025-06-05T23:20:10.1282144Z [ 69%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_builder.c.o
2025-06-05T23:20:10.1282874Z [ 72%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_verifier.c.o
2025-06-05T23:20:10.1283833Z [ 75%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_sorter.c.o
2025-06-05T23:20:10.1284589Z [ 78%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_json_parser.c.o
2025-06-05T23:20:10.1285353Z [ 81%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_json_printer.c.o
2025-06-05T23:20:10.1286117Z [ 84%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/builder.c.o
2025-06-05T23:20:10.1286845Z [ 87%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/emitter.c.o
2025-06-05T23:20:10.1287601Z [ 90%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/refmap.c.o
2025-06-05T23:20:10.3944086Z [ 93%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatcc.a
2025-06-05T23:20:10.3944735Z -- Looking for realpath - found
2025-06-05T23:20:10.3945165Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-06-05T23:20:10.3945781Z -- Configuring done (0.7s)
2025-06-05T23:20:10.3946162Z -- Generating done (0.0s)
2025-06-05T23:20:10.3947351Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/src/flatbuffers_external_project-build
2025-06-05T23:20:10.3948697Z [ 93%] Built target flatcc
2025-06-05T23:20:10.3949516Z [ 21%] Performing build step for 'flatbuffers_external_project'
2025-06-05T23:20:10.3950555Z [ 96%] Building C object src/cli/CMakeFiles/flatcc_cli.dir/flatcc_cli.c.o
2025-06-05T23:20:10.3951487Z [  2%] Building CXX object CMakeFiles/flatc.dir/src/idl_parser.cpp.o
2025-06-05T23:20:10.3952285Z [  5%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o
2025-06-05T23:20:10.3953066Z [  7%] Building CXX object CMakeFiles/flatc.dir/src/reflection.cpp.o
2025-06-05T23:20:10.3953938Z [ 10%] Building CXX object CMakeFiles/flatc.dir/src/util.cpp.o
2025-06-05T23:20:10.3954812Z [ 13%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o
2025-06-05T23:20:10.3955731Z [ 15%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o
2025-06-05T23:20:10.3956823Z [ 18%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o
2025-06-05T23:20:10.3957977Z [ 21%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o
2025-06-05T23:20:10.3959296Z [100%] Linking C executable /pytorch/executorch/third-party/flatcc/bin/flatcc
2025-06-05T23:20:10.3960157Z [100%] Built target flatcc_cli
2025-06-05T23:20:10.3960987Z [ 21%] Performing install step for 'flatcc_external_project'
2025-06-05T23:20:10.3961667Z [ 21%] Built target flatccrt
2025-06-05T23:20:10.3962084Z [ 93%] Built target flatcc
2025-06-05T23:20:10.3962714Z [ 23%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o
2025-06-05T23:20:10.3963294Z [100%] Built target flatcc_cli
2025-06-05T23:20:10.3964642Z [ 26%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o
2025-06-05T23:20:10.3965252Z Install the project...
2025-06-05T23:20:10.3965541Z -- Install configuration: ""
2025-06-05T23:20:10.3966254Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc
2025-06-05T23:20:10.3967416Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc.h
2025-06-05T23:20:10.3968577Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_accessors.h
2025-06-05T23:20:10.3969809Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_alloc.h
2025-06-05T23:20:10.3971197Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_assert.h
2025-06-05T23:20:10.3972661Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_builder.h
2025-06-05T23:20:10.3974336Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_emitter.h
2025-06-05T23:20:10.3975506Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_endian.h
2025-06-05T23:20:10.3976461Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_epilogue.h
2025-06-05T23:20:10.3977391Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_flatbuffers.h
2025-06-05T23:20:10.3978584Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_identifier.h
2025-06-05T23:20:10.3979679Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_iov.h
2025-06-05T23:20:10.3980575Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_json_parser.h
2025-06-05T23:20:10.3981513Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_json_printer.h
2025-06-05T23:20:10.3982440Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_portable.h
2025-06-05T23:20:10.3983573Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_prologue.h
2025-06-05T23:20:10.3984686Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_refmap.h
2025-06-05T23:20:10.3985648Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_rtconfig.h
2025-06-05T23:20:10.3986534Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_types.h
2025-06-05T23:20:10.3987438Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_unaligned.h
2025-06-05T23:20:10.3988460Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_verifier.h
2025-06-05T23:20:10.3989509Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/flatcc_version.h
2025-06-05T23:20:10.3990526Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable
2025-06-05T23:20:10.3991388Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/LICENSE
2025-06-05T23:20:10.3992302Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/README.md
2025-06-05T23:20:10.3993370Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/grisu3_math.h
2025-06-05T23:20:10.3994386Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/grisu3_parse.h
2025-06-05T23:20:10.3995346Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/grisu3_print.h
2025-06-05T23:20:10.3996286Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include
2025-06-05T23:20:10.3997204Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/README
2025-06-05T23:20:10.3998227Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/linux
2025-06-05T23:20:10.3999279Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/linux/endian.h
2025-06-05T23:20:10.4000266Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/std
2025-06-05T23:20:10.4001307Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/std/inttypes.h
2025-06-05T23:20:10.4002628Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/std/stdalign.h
2025-06-05T23:20:10.4003665Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/std/stdbool.h
2025-06-05T23:20:10.4004728Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/include/std/stdint.h
2025-06-05T23:20:10.4005854Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/paligned_alloc.h
2025-06-05T23:20:10.4006882Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pattributes.h
2025-06-05T23:20:10.4007867Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pbase64.h
2025-06-05T23:20:10.4008889Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pcrt.h
2025-06-05T23:20:10.4009821Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pdiagnostic.h
2025-06-05T23:20:10.4010855Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pdiagnostic_pop.h
2025-06-05T23:20:10.4011976Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pdiagnostic_push.h
2025-06-05T23:20:10.4013180Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pendian.h
2025-06-05T23:20:10.4014449Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pendian_detect.h
2025-06-05T23:20:10.4015553Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pinline.h
2025-06-05T23:20:10.4016645Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pinttypes.h
2025-06-05T23:20:10.4018182Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pmemaccess.h
2025-06-05T23:20:10.4019811Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/portable.h
2025-06-05T23:20:10.4021379Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/portable_basic.h
2025-06-05T23:20:10.4022872Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pparsefp.h
2025-06-05T23:20:10.4024329Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pparseint.h
2025-06-05T23:20:10.4025850Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pprintfp.h
2025-06-05T23:20:10.4027444Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pprintint.h
2025-06-05T23:20:11.7992871Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/prestrict.h
2025-06-05T23:20:11.7994528Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pstatic_assert.h
2025-06-05T23:20:11.7995737Z [ 28%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o
2025-06-05T23:20:11.7996678Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pstatic_assert_scope.h
2025-06-05T23:20:11.7997779Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pstdalign.h
2025-06-05T23:20:11.7998823Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pstdbool.h
2025-06-05T23:20:11.8000053Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pstdint.h
2025-06-05T23:20:11.8001671Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/punaligned.h
2025-06-05T23:20:11.8002792Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pversion.h
2025-06-05T23:20:11.8003876Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/portable/pwarnings.h
2025-06-05T23:20:11.8005090Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection
2025-06-05T23:20:11.8006250Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/README
2025-06-05T23:20:11.8007662Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/flatbuffers_common_builder.h
2025-06-05T23:20:11.8009039Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/flatbuffers_common_reader.h
2025-06-05T23:20:11.8010648Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/reflection_builder.h
2025-06-05T23:20:11.8012082Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/reflection_reader.h
2025-06-05T23:20:11.8013166Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/reflection/reflection_verifier.h
2025-06-05T23:20:11.8014104Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support
2025-06-05T23:20:11.8014962Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support/README
2025-06-05T23:20:11.8015839Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support/cdump.h
2025-06-05T23:20:11.8016747Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support/elapsed.h
2025-06-05T23:20:11.8017658Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support/hexdump.h
2025-06-05T23:20:11.8018575Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/include/flatcc/support/readfile.h
2025-06-05T23:20:11.8019424Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/lib/libflatccrt.a
2025-06-05T23:20:11.8020181Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/lib/libflatcc.a
2025-06-05T23:20:11.8020920Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatcc_external_project/bin/flatcc
2025-06-05T23:20:11.8021580Z [ 21%] Completed 'flatcc_external_project'
2025-06-05T23:20:11.8022128Z [ 31%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o
2025-06-05T23:20:11.8022789Z [ 21%] Built target flatcc_external_project
2025-06-05T23:20:11.8023297Z [ 34%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o
2025-06-05T23:20:11.8024161Z [ 36%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o
2025-06-05T23:20:11.8024799Z [ 39%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o
2025-06-05T23:20:11.8025450Z [ 42%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o
2025-06-05T23:20:11.8026081Z [ 44%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o
2025-06-05T23:20:11.8026703Z [ 47%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o
2025-06-05T23:20:11.8027327Z [ 50%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o
2025-06-05T23:20:11.8028167Z [ 52%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o
2025-06-05T23:20:11.8028845Z [ 55%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o
2025-06-05T23:20:11.8029552Z [ 57%] Building CXX object CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o
2025-06-05T23:20:11.8030413Z [ 60%] Building CXX object CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o
2025-06-05T23:20:11.8031140Z [ 63%] Building CXX object CMakeFiles/flatc.dir/src/file_writer.cpp.o
2025-06-05T23:20:11.8031732Z [ 65%] Building CXX object CMakeFiles/flatc.dir/src/flatc.cpp.o
2025-06-05T23:20:11.8032329Z [ 68%] Building CXX object CMakeFiles/flatc.dir/src/flatc_main.cpp.o
2025-06-05T23:20:11.8032962Z [ 71%] Building CXX object CMakeFiles/flatc.dir/src/binary_annotator.cpp.o
2025-06-05T23:20:11.8033673Z [ 73%] Building CXX object CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o
2025-06-05T23:20:11.8034340Z [ 76%] Building CXX object CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o
2025-06-05T23:20:11.8034969Z [ 78%] Building CXX object CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o
2025-06-05T23:20:11.8035615Z [ 81%] Building CXX object CMakeFiles/flatc.dir/src/code_generators.cpp.o
2025-06-05T23:20:11.8036325Z [ 84%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/cpp_generator.cc.o
2025-06-05T23:20:11.8037173Z [ 86%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/go_generator.cc.o
2025-06-05T23:20:11.8037922Z [ 89%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/java_generator.cc.o
2025-06-05T23:20:11.8038703Z [ 92%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o
2025-06-05T23:20:11.8039486Z [ 97%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o
2025-06-05T23:20:11.8040229Z [ 97%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o
2025-06-05T23:20:11.8041036Z [ 21%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/builder.c.o
2025-06-05T23:20:11.8041879Z [ 22%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o
2025-06-05T23:20:11.8042715Z [ 22%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o
2025-06-05T23:20:11.8043570Z [ 22%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/verifier.c.o
2025-06-05T23:20:11.8044427Z [ 23%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/json_parser.c.o
2025-06-05T23:20:11.8045317Z [ 23%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/json_printer.c.o
2025-06-05T23:20:11.8046019Z [100%] Linking CXX executable flatc
2025-06-05T23:20:11.8046666Z [ 23%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
2025-06-05T23:20:11.8047194Z [ 23%] Built target flatccrt
2025-06-05T23:20:11.8047510Z [100%] Built target flatc
2025-06-05T23:20:11.8048170Z [ 24%] Performing install step for 'flatbuffers_external_project'
2025-06-05T23:20:11.8048586Z [100%] Built target flatc
2025-06-05T23:20:11.8048896Z Install the project...
2025-06-05T23:20:11.8049183Z -- Install configuration: ""
2025-06-05T23:20:11.8049744Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers
2025-06-05T23:20:11.8050648Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/allocator.h
2025-06-05T23:20:11.8051594Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/array.h
2025-06-05T23:20:11.8052513Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/base.h
2025-06-05T23:20:11.8053417Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer.h
2025-06-05T23:20:11.8054367Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer_ref.h
2025-06-05T23:20:11.8055404Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generator.h
2025-06-05T23:20:11.8056584Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generators.h
2025-06-05T23:20:11.8057601Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/default_allocator.h
2025-06-05T23:20:11.8058608Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/detached_buffer.h
2025-06-05T23:20:11.8059599Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/file_manager.h
2025-06-05T23:20:11.8060592Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffer_builder.h
2025-06-05T23:20:11.8061598Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffers.h
2025-06-05T23:20:11.8062549Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatc.h
2025-06-05T23:20:11.8063500Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flex_flat_util.h
2025-06-05T23:20:11.8064793Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flexbuffers.h
2025-06-05T23:20:12.7207941Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/grpc.h
2025-06-05T23:20:12.7209705Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/hash.h
2025-06-05T23:20:12.7211486Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/idl.h
2025-06-05T23:20:12.7213287Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/minireflect.h
2025-06-05T23:20:12.7215110Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch
2025-06-05T23:20:12.7217009Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch/flatc_pch.h
2025-06-05T23:20:12.7218887Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/pch/pch.h
2025-06-05T23:20:12.7220765Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/reflection.h
2025-06-05T23:20:12.7222713Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/reflection_generated.h
2025-06-05T23:20:12.7224664Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/registry.h
2025-06-05T23:20:12.7226578Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/stl_emulation.h
2025-06-05T23:20:12.7228511Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/string.h
2025-06-05T23:20:12.7230355Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/struct.h
2025-06-05T23:20:12.7232181Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/table.h
2025-06-05T23:20:12.7233955Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/util.h
2025-06-05T23:20:12.7235709Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/vector.h
2025-06-05T23:20:12.7237596Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/vector_downward.h
2025-06-05T23:20:12.7239532Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/verifier.h
2025-06-05T23:20:12.7241549Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/flatbuffers-config.cmake
2025-06-05T23:20:12.7244102Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/BuildFlatBuffers.cmake
2025-06-05T23:20:12.7246367Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/flatbuffers-config-version.cmake
2025-06-05T23:20:12.7248263Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/bin/flatc
2025-06-05T23:20:12.7250004Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/FlatcTargets.cmake
2025-06-05T23:20:12.7252128Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/lib/cmake/flatbuffers/FlatcTargets-noconfig.cmake
2025-06-05T23:20:12.7254016Z [ 24%] Completed 'flatbuffers_external_project'
2025-06-05T23:20:12.7254750Z [ 24%] Built target flatbuffers_external_project
2025-06-05T23:20:12.7255517Z [ 24%] Generating common_schema headers
2025-06-05T23:20:12.7256146Z [ 24%] Built target common_schema
2025-06-05T23:20:12.7256814Z [ 25%] Generating program_schema headers
2025-06-05T23:20:12.7257441Z [ 25%] Built target program_schema
2025-06-05T23:20:12.7258545Z [ 26%] Building CXX object CMakeFiles/executorch_core.dir/runtime/backend/interface.cpp.o
2025-06-05T23:20:12.7260002Z [ 26%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/evalue.cpp.o
2025-06-05T23:20:12.7261738Z [ 27%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/exec_aten/util/tensor_shape_to_c_string.cpp.o
2025-06-05T23:20:12.7263671Z [ 27%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/exec_aten/util/tensor_util_portable.cpp.o
2025-06-05T23:20:12.7265503Z [ 27%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tag.cpp.o
2025-06-05T23:20:12.7267165Z [ 27%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/portable_type/tensor_impl.cpp.o
2025-06-05T23:20:12.7268936Z [ 28%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tensor_layout.cpp.o
2025-06-05T23:20:12.7270489Z [ 28%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method.cpp.o
2025-06-05T23:20:12.7272057Z [ 28%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method_meta.cpp.o
2025-06-05T23:20:12.7273579Z [ 29%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/program.cpp.o
2025-06-05T23:20:12.7275185Z [ 29%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/pte_data_map.cpp.o
2025-06-05T23:20:12.7276843Z [ 29%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_exec_aten.cpp.o
2025-06-05T23:20:12.7278641Z [ 30%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_portable.cpp.o
2025-06-05T23:20:12.7280421Z [ 30%] Building CXX object CMakeFiles/executorch_core.dir/runtime/kernel/operator_registry.cpp.o
2025-06-05T23:20:12.7282026Z [ 30%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/abort.cpp.o
2025-06-05T23:20:12.7283536Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/log.cpp.o
2025-06-05T23:20:12.7285005Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/platform.cpp.o
2025-06-05T23:20:12.7286590Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/profiler.cpp.o
2025-06-05T23:20:12.7288134Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/runtime.cpp.o
2025-06-05T23:20:12.7289666Z [ 32%] Building CXX object CMakeFiles/executorch_core.dir/schema/extended_header.cpp.o
2025-06-05T23:20:12.7291260Z [ 32%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/default/posix.cpp.o
2025-06-05T23:20:12.7292748Z [ 32%] Linking CXX static library libexecutorch_core.a
2025-06-05T23:20:12.7293554Z [ 32%] Built target executorch_core
2025-06-05T23:20:12.7294677Z [ 32%] Building CXX object CMakeFiles/executorch.dir/kernels/prim_ops/et_copy_index.cpp.o
2025-06-05T23:20:12.7296183Z [ 33%] Building CXX object CMakeFiles/executorch.dir/kernels/prim_ops/et_view.cpp.o
2025-06-05T23:20:12.7297710Z [ 34%] Building CXX object CMakeFiles/executorch.dir/kernels/prim_ops/register_prim_ops.cpp.o
2025-06-05T23:20:12.7299472Z [ 34%] Building CXX object extension/threadpool/CMakeFiles/extension_threadpool.dir/threadpool.cpp.o
2025-06-05T23:20:12.7301295Z [ 34%] Building CXX object extension/threadpool/CMakeFiles/extension_threadpool.dir/thread_parallel.cpp.o
2025-06-05T23:20:12.7303242Z [ 34%] Building CXX object extension/threadpool/CMakeFiles/extension_threadpool.dir/threadpool_guard.cpp.o
2025-06-05T23:20:12.7305139Z [ 35%] Building CXX object extension/threadpool/CMakeFiles/extension_threadpool.dir/cpuinfo_utils.cpp.o
2025-06-05T23:20:12.7307150Z [ 35%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/advanced_index_util.cpp.o
2025-06-05T23:20:12.7309359Z [ 35%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/activation_ops_util.cpp.o
2025-06-05T23:20:12.7311428Z [ 36%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/broadcast_util.cpp.o
2025-06-05T23:20:12.7313400Z [ 36%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/copy_ops_util.cpp.o
2025-06-05T23:20:12.7315417Z [ 36%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/delinearize_index.cpp.o
2025-06-05T23:20:12.7317456Z [ 36%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/distance_util.cpp.o
2025-06-05T23:20:12.7319441Z [ 37%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/dtype_util.cpp.o
2025-06-05T23:20:12.7321364Z [ 37%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/index_util.cpp.o
2025-06-05T23:20:12.7323287Z [ 37%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/kernel_ops_util.cpp.o
2025-06-05T23:20:12.7324734Z [ 37%] Linking CXX static library libexecutorch.a
2025-06-05T23:20:12.7325354Z [ 37%] Built target executorch
2025-06-05T23:20:12.7326154Z [ 37%] Linking CXX static library libextension_threadpool.a
2025-06-05T23:20:12.7327707Z [ 38%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/matmul_ops_util.cpp.o
2025-06-05T23:20:12.7328917Z [ 38%] Built target extension_threadpool
2025-06-05T23:20:12.7330372Z [ 38%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/normalization_ops_util.cpp.o
2025-06-05T23:20:12.7332415Z [ 38%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/padding_util.cpp.o
2025-06-05T23:20:12.7334358Z [ 39%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/reduce_util.cpp.o
2025-06-05T23:20:12.7336326Z [ 39%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/repeat_util.cpp.o
2025-06-05T23:20:12.7338242Z [ 40%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/slice_util.cpp.o
2025-06-05T23:20:13.1600912Z [ 40%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/select_copy_util.cpp.o
2025-06-05T23:20:13.1602990Z [ 40%] Building CXX object kernels/portable/cpu/util/CMakeFiles/kernels_util_all_deps.dir/upsample_util.cpp.o
2025-06-05T23:20:13.1604496Z [ 40%] Linking CXX static library libkernels_util_all_deps.a
2025-06-05T23:20:13.1605569Z [ 40%] Built target kernels_util_all_deps
2025-06-05T23:20:13.1606981Z [ 41%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op__empty_dim_order.cpp.o
2025-06-05T23:20:13.1608550Z [ 41%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op__to_dim_order_copy.cpp.o
2025-06-05T23:20:13.1609873Z [ 41%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_abs.cpp.o
2025-06-05T23:20:13.1611138Z [ 42%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_acos.cpp.o
2025-06-05T23:20:13.1612349Z [ 42%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_acosh.cpp.o
2025-06-05T23:20:13.1613590Z [ 42%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_add.cpp.o
2025-06-05T23:20:13.1614847Z [ 42%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_alias_copy.cpp.o
2025-06-05T23:20:13.1616209Z [ 43%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_addmm.cpp.o
2025-06-05T23:20:13.1617530Z [ 43%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_allclose.cpp.o
2025-06-05T23:20:13.1618806Z [ 43%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_amax.cpp.o
2025-06-05T23:20:13.1620057Z [ 44%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_amin.cpp.o
2025-06-05T23:20:13.1621464Z [ 44%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_any.cpp.o
2025-06-05T23:20:13.1622409Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.1623014Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.1623641Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.1624264Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.1625065Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.1625935Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.1633976Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.1644802Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.1660491Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.1674863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.1689480Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.1704692Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.1712464Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.1714250Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.1715267Z    94 |     struct array
2025-06-05T23:20:13.1715673Z       |            ^~~~~
2025-06-05T23:20:13.1717494Z /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]’
2025-06-05T23:20:13.1719061Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.1719755Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.1728525Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.1744968Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.1761628Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.1776874Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.1791858Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.1806902Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.1813877Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.1815591Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.1816631Z    94 |     struct array
2025-06-05T23:20:13.1817043Z       |            ^~~~~
2025-06-05T23:20:13.1818700Z /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]’
2025-06-05T23:20:13.1820231Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.1820902Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.1829030Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.1844661Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.1860460Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.1876017Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.1889911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.1905956Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.1913607Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.1915361Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.1916420Z    94 |     struct array
2025-06-05T23:20:13.1916831Z       |            ^~~~~
2025-06-05T23:20:13.1918459Z /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]’
2025-06-05T23:20:13.1919968Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.1920668Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.1929859Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.1946764Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.1964652Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.1980929Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.1996608Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.2012589Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2020595Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2022398Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2023478Z    94 |     struct array
2025-06-05T23:20:13.2023883Z       |            ^~~~~
2025-06-05T23:20:13.2025565Z /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]’
2025-06-05T23:20:13.2027197Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2028051Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2036971Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.2053533Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2077524Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2092772Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.2108145Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.2123707Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2131350Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2133068Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2134121Z    94 |     struct array
2025-06-05T23:20:13.2134554Z       |            ^~~~~
2025-06-05T23:20:13.2136163Z /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]’
2025-06-05T23:20:13.2137697Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2138425Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2147698Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.2164817Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2182478Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2198893Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.2214896Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.2230552Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2238092Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2239827Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2240855Z    94 |     struct array
2025-06-05T23:20:13.2241279Z       |            ^~~~~
2025-06-05T23:20:13.2242892Z /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]’
2025-06-05T23:20:13.2244399Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2245118Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2253724Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.2271568Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2287450Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2302329Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.2317677Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.2333343Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2340930Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2342612Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2343636Z    94 |     struct array
2025-06-05T23:20:13.2344014Z       |            ^~~~~
2025-06-05T23:20:13.2345518Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.2346925Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2347727Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2356818Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.2373759Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2391544Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2408194Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.2423802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.2454339Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2461860Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2464004Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2465017Z    94 |     struct array
2025-06-05T23:20:13.2465429Z       |            ^~~~~
2025-06-05T23:20:13.2466831Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.2468318Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2468998Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2477549Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.2493241Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2510579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2525615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.2540960Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.2556677Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2564365Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2566096Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2567115Z    94 |     struct array
2025-06-05T23:20:13.2567529Z       |            ^~~~~
2025-06-05T23:20:13.2569097Z /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]’
2025-06-05T23:20:13.2570581Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2571320Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2580591Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.2597589Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2612774Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2628822Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.2643935Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.2659621Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2666753Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2668488Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2669478Z    94 |     struct array
2025-06-05T23:20:13.2669880Z       |            ^~~~~
2025-06-05T23:20:13.2671489Z /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]’
2025-06-05T23:20:13.2672953Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2673656Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2682219Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.2697801Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2714100Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2729029Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.2743942Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.2774979Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2782410Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2784114Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2785117Z    94 |     struct array
2025-06-05T23:20:13.2785781Z       |            ^~~~~
2025-06-05T23:20:13.2787416Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.2788973Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2789620Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2798529Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.2815170Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2832720Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.2849074Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.2864873Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.2880606Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2888244Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2889905Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2890918Z    94 |     struct array
2025-06-05T23:20:13.2891351Z       |            ^~~~~
2025-06-05T23:20:13.2892844Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.2894273Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2894974Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.2903701Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.2919028Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2935619Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.2950706Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.2966157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.2982254Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.2989856Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.2991488Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.2992519Z    94 |     struct array
2025-06-05T23:20:13.2992951Z       |            ^~~~~
2025-06-05T23:20:13.2994507Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.2995909Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.2996625Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3005735Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3022545Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3040430Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3056849Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3072250Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3087260Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3094484Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.3096226Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3097428Z    94 |     struct array
2025-06-05T23:20:13.3097856Z       |            ^~~~~
2025-06-05T23:20:13.3099576Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.3101054Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3101776Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3110374Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.3126221Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3142474Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3157433Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.3172621Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.3188386Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3196004Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.3197730Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3198777Z    94 |     struct array
2025-06-05T23:20:13.3199188Z       |            ^~~~~
2025-06-05T23:20:13.3200039Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:13.3201357Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:13.3202548Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:13.3203733Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:13.3204957Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:13.3206027Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3208322Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:13.3209969Z   384 |   unsigned short x;
2025-06-05T23:20:13.3210399Z       |                  ^
2025-06-05T23:20:13.3210913Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.3211564Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.3212278Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.3212997Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.3214165Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.3215243Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3224421Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3241257Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3258868Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3275758Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3291246Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3307223Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3314985Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.3316694Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3317741Z    94 |     struct array
2025-06-05T23:20:13.3318153Z       |            ^~~~~
2025-06-05T23:20:13.3319017Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:13.3320354Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:13.3321614Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:13.3322849Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:13.3324084Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:13.3325164Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3327503Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:13.3329166Z   384 |   unsigned short x;
2025-06-05T23:20:13.3329588Z       |                  ^
2025-06-05T23:20:13.3330093Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.3330750Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.3331437Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.3332295Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.3333246Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.3334329Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3343098Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.3359174Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3376081Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3391783Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.3406762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.3422652Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3430396Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.3432173Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3433225Z    94 |     struct array
2025-06-05T23:20:13.3433647Z       |            ^~~~~
2025-06-05T23:20:13.3434540Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:13.3435690Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:13.3436804Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:13.3437956Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:13.3438970Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3441157Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:13.3442738Z    84 |   uint16_t x;
2025-06-05T23:20:13.3443127Z       |            ^
2025-06-05T23:20:13.3443572Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.3444211Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.3444884Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.3445539Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.3446069Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.3446630Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3451568Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3460730Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3470386Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3478746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3486914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3494909Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3498793Z /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:59:3:   required from here
2025-06-05T23:20:13.3499699Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3500257Z    94 |     struct array
2025-06-05T23:20:13.3500502Z       |            ^~~~~
2025-06-05T23:20:13.3500962Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:13.3501647Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:13.3502271Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:13.3502909Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:13.3503475Z                  from /pytorch/executorch/kernels/portable/cpu/op_addmm.cpp:9:
2025-06-05T23:20:13.3504668Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:13.3505514Z    84 |   uint16_t x;
2025-06-05T23:20:13.3505731Z       |            ^
2025-06-05T23:20:13.3506008Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.3506359Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.3506769Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.3507166Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.3507719Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.3508290Z                  from /pytorch/executorch/kernels/portable/cpu/op_add.cpp:9:
2025-06-05T23:20:13.3513195Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.3521980Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3531055Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3539473Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.3547983Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.3556876Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3560962Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3561857Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3562436Z    94 |     struct array
2025-06-05T23:20:13.3562662Z       |            ^~~~~
2025-06-05T23:20:13.3563552Z /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]’
2025-06-05T23:20:13.3564544Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3564939Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3569931Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3579307Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3590325Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3602159Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3610874Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3619737Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3623852Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3624753Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3625328Z    94 |     struct array
2025-06-05T23:20:13.3625559Z       |            ^~~~~
2025-06-05T23:20:13.3626447Z /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]’
2025-06-05T23:20:13.3627263Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3627738Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3632683Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.3641798Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3650864Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3659263Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.3667862Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.3677100Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3684084Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3685439Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3686008Z    94 |     struct array
2025-06-05T23:20:13.3686340Z       |            ^~~~~
2025-06-05T23:20:13.3687236Z /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]’
2025-06-05T23:20:13.3688034Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3688428Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3695340Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3709419Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3723690Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3738767Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3754664Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3771693Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3779725Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3781434Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3782429Z    94 |     struct array
2025-06-05T23:20:13.3782837Z       |            ^~~~~
2025-06-05T23:20:13.3784397Z /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]’
2025-06-05T23:20:13.3786163Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3786989Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3795598Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.3810020Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3824559Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.3837725Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.3852007Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.3862466Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3866851Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3868068Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3868830Z    94 |     struct array
2025-06-05T23:20:13.3869216Z       |            ^~~~~
2025-06-05T23:20:13.3870579Z /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]’
2025-06-05T23:20:13.3872129Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3872760Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3881062Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.3898526Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3916409Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.3934012Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.3951038Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.3968312Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.3976491Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.3978192Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.3979267Z    94 |     struct array
2025-06-05T23:20:13.3979683Z       |            ^~~~~
2025-06-05T23:20:13.3981304Z /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]’
2025-06-05T23:20:13.3982823Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.3983527Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.3992648Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.4009645Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4026901Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4042359Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.4058236Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.4075761Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4083936Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4085599Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4086590Z    94 |     struct array
2025-06-05T23:20:13.4087010Z       |            ^~~~~
2025-06-05T23:20:13.4088547Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.4090017Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4090740Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4100655Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.4119057Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4137859Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4155555Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.4172349Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.4189347Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4197349Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4199021Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4200017Z    94 |     struct array
2025-06-05T23:20:13.4200437Z       |            ^~~~~
2025-06-05T23:20:13.4201950Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.4203528Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4204398Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4213526Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.4230478Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4248236Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4264988Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.4281401Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.4298789Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4306884Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4308660Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4309716Z    94 |     struct array
2025-06-05T23:20:13.4310132Z       |            ^~~~~
2025-06-05T23:20:13.4311691Z /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]’
2025-06-05T23:20:13.4313164Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4313895Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4323675Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.4341973Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4360501Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4377892Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.4395023Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.4411902Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4419889Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4421597Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4422629Z    94 |     struct array
2025-06-05T23:20:13.4423015Z       |            ^~~~~
2025-06-05T23:20:13.4424605Z /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]’
2025-06-05T23:20:13.4426096Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4426788Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4435945Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.4452779Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4470008Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4486476Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.4502699Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.4520092Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4528149Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4529844Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4530867Z    94 |     struct array
2025-06-05T23:20:13.4531298Z       |            ^~~~~
2025-06-05T23:20:13.4532823Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.4534267Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4535004Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4544595Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.4562844Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4581716Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4599354Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.4616140Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.4633390Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4641382Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4643061Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4644024Z    94 |     struct array
2025-06-05T23:20:13.4644453Z       |            ^~~~~
2025-06-05T23:20:13.4645962Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.4647664Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4648390Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4657384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.4674345Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4692197Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4708895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.4725562Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.4742636Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4750809Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4752531Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4753531Z    94 |     struct array
2025-06-05T23:20:13.4753955Z       |            ^~~~~
2025-06-05T23:20:13.4755497Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.4756948Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4757665Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4766848Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.4785235Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4804104Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.4821619Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.4838722Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.4856051Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4864321Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4866034Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4867075Z    94 |     struct array
2025-06-05T23:20:13.4867489Z       |            ^~~~~
2025-06-05T23:20:13.4869104Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.4870625Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4871337Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4880470Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.4897542Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4915482Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.4931126Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.4947184Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.4964875Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.4973087Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.4974753Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.4975773Z    94 |     struct array
2025-06-05T23:20:13.4976194Z       |            ^~~~~
2025-06-05T23:20:13.4977730Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:13.4979135Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.4979890Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.4989594Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5007640Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5026208Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5043771Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5060518Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5077815Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.5085838Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:53:3:   required from here
2025-06-05T23:20:13.5087477Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.5088477Z    94 |     struct array
2025-06-05T23:20:13.5088890Z       |            ^~~~~
2025-06-05T23:20:13.5090418Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:13.5092146Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5092860Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5101256Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5116672Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5132293Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5146805Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5161662Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5176361Z /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)>]’
2025-06-05T23:20:13.5183743Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5185517Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5186591Z    94 |     struct array
2025-06-05T23:20:13.5187009Z       |            ^~~~~
2025-06-05T23:20:13.5188763Z /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]’
2025-06-05T23:20:13.5190345Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5191054Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5199841Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5216114Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5233093Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5247959Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5262646Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5274551Z /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)>]’
2025-06-05T23:20:13.5278395Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5279307Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5279883Z    94 |     struct array
2025-06-05T23:20:13.5280116Z       |            ^~~~~
2025-06-05T23:20:13.5281008Z /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]’
2025-06-05T23:20:13.5281841Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5282228Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5286549Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5294284Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5302170Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5309678Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5317101Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5324805Z /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)>]’
2025-06-05T23:20:13.5328544Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5329415Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5329988Z    94 |     struct array
2025-06-05T23:20:13.5330229Z       |            ^~~~~
2025-06-05T23:20:13.5331089Z /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]’
2025-06-05T23:20:13.5331906Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5332286Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5336827Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5345083Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5353763Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5361604Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5374851Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5389367Z /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)>]’
2025-06-05T23:20:13.5396649Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5398398Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5399440Z    94 |     struct array
2025-06-05T23:20:13.5399869Z       |            ^~~~~
2025-06-05T23:20:13.5401406Z /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]’
2025-06-05T23:20:13.5402814Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5403508Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5411343Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5425492Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5436244Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5443546Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5450935Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5461795Z /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)>]’
2025-06-05T23:20:13.5468527Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5470007Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5470878Z    94 |     struct array
2025-06-05T23:20:13.5471259Z       |            ^~~~~
2025-06-05T23:20:13.5472705Z /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]’
2025-06-05T23:20:13.5474000Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5474563Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5482807Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5493530Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5502302Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5510204Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5518772Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5529612Z /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)>]’
2025-06-05T23:20:13.5533482Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5534421Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5534977Z    94 |     struct array
2025-06-05T23:20:13.5535207Z       |            ^~~~~
2025-06-05T23:20:13.5536057Z /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]’
2025-06-05T23:20:13.5536838Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5537226Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5541482Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5549232Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5557097Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5568272Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5576742Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5591580Z /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)>]’
2025-06-05T23:20:13.5598542Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5600079Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5600969Z    94 |     struct array
2025-06-05T23:20:13.5601364Z       |            ^~~~~
2025-06-05T23:20:13.5602814Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:13.5604264Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5604956Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5613510Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5627354Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5644469Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5655449Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5667183Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5682407Z /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)>]’
2025-06-05T23:20:13.5689775Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5691461Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5692646Z    94 |     struct array
2025-06-05T23:20:13.5693162Z       |            ^~~~~
2025-06-05T23:20:13.5694640Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:13.5696044Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5696725Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5704888Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5720131Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5734663Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5749292Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5763952Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5778640Z /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)>]’
2025-06-05T23:20:13.5786090Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5787858Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5788931Z    94 |     struct array
2025-06-05T23:20:13.5789359Z       |            ^~~~~
2025-06-05T23:20:13.5790965Z /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]’
2025-06-05T23:20:13.5792528Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5793247Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5802098Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5818239Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5835214Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.5850310Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.5865664Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.5881095Z /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)>]’
2025-06-05T23:20:13.5888533Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5890240Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5891251Z    94 |     struct array
2025-06-05T23:20:13.5891666Z       |            ^~~~~
2025-06-05T23:20:13.5893210Z /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]’
2025-06-05T23:20:13.5894674Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5895394Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5903570Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.5918477Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5933323Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.5947793Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.5962215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.5974254Z /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)>]’
2025-06-05T23:20:13.5978567Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.5979476Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.5980086Z    94 |     struct array
2025-06-05T23:20:13.5980328Z       |            ^~~~~
2025-06-05T23:20:13.5981198Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:13.5982036Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.5982448Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.5987715Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.5997149Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6007168Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6021154Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6035071Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6044312Z /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)>]’
2025-06-05T23:20:13.6048020Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.6048877Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.6049420Z    94 |     struct array
2025-06-05T23:20:13.6049653Z       |            ^~~~~
2025-06-05T23:20:13.6050462Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:13.6051217Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6051609Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6056605Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.6070810Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6085411Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6092856Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.6100232Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.6107964Z /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)>]’
2025-06-05T23:20:13.6111667Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.6112529Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.6113079Z    94 |     struct array
2025-06-05T23:20:13.6113313Z       |            ^~~~~
2025-06-05T23:20:13.6114134Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:13.6115029Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6115416Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6119888Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.6128087Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6136627Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6144348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6152023Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6159616Z /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)>]’
2025-06-05T23:20:13.6163324Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.6164594Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.6165425Z    94 |     struct array
2025-06-05T23:20:13.6165710Z       |            ^~~~~
2025-06-05T23:20:13.6166535Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:13.6167315Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6167698Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6171874Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.6179617Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6187457Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6194770Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.6202076Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.6209802Z /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)>]’
2025-06-05T23:20:13.6213558Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.6214421Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.6214951Z    94 |     struct array
2025-06-05T23:20:13.6215196Z       |            ^~~~~
2025-06-05T23:20:13.6216091Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:13.6217340Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6218015Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6226528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.6242937Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6259735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6275628Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6290554Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6305702Z /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)>]’
2025-06-05T23:20:13.6313172Z /pytorch/executorch/kernels/portable/cpu/op_add.cpp:104:3:   required from here
2025-06-05T23:20:13.6314859Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.6315875Z    94 |     struct array
2025-06-05T23:20:13.6316315Z       |            ^~~~~
2025-06-05T23:20:13.6317818Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:13.6319195Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6319922Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6321167Z [ 44%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_arange.cpp.o
2025-06-05T23:20:13.6322896Z [ 45%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_argmax.cpp.o
2025-06-05T23:20:13.6324625Z [ 45%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_argmin.cpp.o
2025-06-05T23:20:13.6326412Z [ 45%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_as_strided_copy.cpp.o
2025-06-05T23:20:13.6328200Z [ 46%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_asin.cpp.o
2025-06-05T23:20:13.6330249Z [ 46%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_asinh.cpp.o
2025-06-05T23:20:13.6331911Z [ 46%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_atan.cpp.o
2025-06-05T23:20:13.6333557Z [ 47%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_atan2.cpp.o
2025-06-05T23:20:13.6335219Z [ 47%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_atanh.cpp.o
2025-06-05T23:20:13.6336989Z [ 47%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_avg_pool2d.cpp.o
2025-06-05T23:20:13.6338773Z [ 48%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_bitwise_and.cpp.o
2025-06-05T23:20:13.6340538Z [ 48%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_bitwise_not.cpp.o
2025-06-05T23:20:13.6342335Z [ 48%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_bitwise_or.cpp.o
2025-06-05T23:20:13.6344132Z [ 49%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_bitwise_xor.cpp.o
2025-06-05T23:20:13.6345876Z [ 49%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_bmm.cpp.o
2025-06-05T23:20:13.6347527Z [ 49%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cat.cpp.o
2025-06-05T23:20:13.6349357Z [ 49%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cdist_forward.cpp.o
2025-06-05T23:20:13.6350545Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.6351191Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.6351909Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.6352599Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.6353485Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:13.6354766Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:13.6355926Z                  from /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:9:
2025-06-05T23:20:13.6365081Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.6381165Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6398179Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6413259Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.6428946Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.6445207Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.6453028Z /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:20:13.6454742Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6455742Z    94 |     struct array
2025-06-05T23:20:13.6456140Z       |            ^~~~~
2025-06-05T23:20:13.6457686Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.6459118Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6459843Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6469263Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.6486696Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6504574Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6521359Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6537069Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6553319Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.6561176Z /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:20:13.6562857Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6564039Z    94 |     struct array
2025-06-05T23:20:13.6564382Z       |            ^~~~~
2025-06-05T23:20:13.6565700Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:13.6567098Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6567805Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6576754Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.6593198Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6610332Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6625764Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.6641671Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.6657884Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.6665690Z /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:20:13.6667411Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6668485Z    94 |     struct array
2025-06-05T23:20:13.6668920Z       |            ^~~~~
2025-06-05T23:20:13.6670488Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.6671954Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6672655Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6681986Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.6698457Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6716689Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6733472Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6749330Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6765632Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:13.6773507Z /pytorch/executorch/kernels/portable/cpu/op_atan2.cpp:57:3:   required from here
2025-06-05T23:20:13.6775194Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6776189Z    94 |     struct array
2025-06-05T23:20:13.6776591Z       |            ^~~~~
2025-06-05T23:20:13.6778144Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:13.6779567Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6780279Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6781504Z [ 50%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_ceil.cpp.o
2025-06-05T23:20:13.6782584Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.6783236Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.6783912Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.6784615Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.6785499Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.6786779Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:20:13.6788028Z                  from /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:9:
2025-06-05T23:20:13.6795243Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.6808003Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6821272Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.6833367Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.6845484Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.6857819Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.6868006Z /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]’
2025-06-05T23:20:13.6872329Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.6874151Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6875199Z    94 |     struct array
2025-06-05T23:20:13.6875615Z       |            ^~~~~
2025-06-05T23:20:13.6877322Z /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]’
2025-06-05T23:20:13.6878927Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6879857Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.6887197Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.6901057Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6915212Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.6928146Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.6941963Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.6955371Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.6965130Z /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]’
2025-06-05T23:20:13.6969429Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.6971191Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.6972252Z    94 |     struct array
2025-06-05T23:20:13.6972641Z       |            ^~~~~
2025-06-05T23:20:13.6974282Z /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]’
2025-06-05T23:20:13.6975882Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.6994050Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7000911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7013404Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7025793Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7037392Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7048094Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7054587Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7059632Z /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]’
2025-06-05T23:20:13.7061910Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7062817Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7063386Z    94 |     struct array
2025-06-05T23:20:13.7063629Z       |            ^~~~~
2025-06-05T23:20:13.7065091Z /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]’
2025-06-05T23:20:13.7066420Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7067078Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7074350Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7086749Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7097883Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7109450Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7117423Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7123814Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7128864Z /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]’
2025-06-05T23:20:13.7131064Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7131977Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7132544Z    94 |     struct array
2025-06-05T23:20:13.7132772Z       |            ^~~~~
2025-06-05T23:20:13.7133637Z /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]’
2025-06-05T23:20:13.7134437Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7134840Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7138336Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7144701Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7151397Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7157384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7163458Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7169970Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7174999Z /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]’
2025-06-05T23:20:13.7177216Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7178107Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7178662Z    94 |     struct array
2025-06-05T23:20:13.7178908Z       |            ^~~~~
2025-06-05T23:20:13.7179744Z /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]’
2025-06-05T23:20:13.7180542Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7180925Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7184851Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7191893Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7199008Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7205429Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7211717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7218203Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7223244Z /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]’
2025-06-05T23:20:13.7225438Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7226345Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7226904Z    94 |     struct array
2025-06-05T23:20:13.7227139Z       |            ^~~~~
2025-06-05T23:20:13.7228042Z /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]’
2025-06-05T23:20:13.7228825Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7229218Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7232632Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7238885Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7245358Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7251171Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7257196Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7267972Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7277413Z /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]’
2025-06-05T23:20:13.7281343Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7282893Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7283780Z    94 |     struct array
2025-06-05T23:20:13.7284176Z       |            ^~~~~
2025-06-05T23:20:13.7285602Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.7286993Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7287678Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7295078Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7307783Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7320348Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7331310Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7340272Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7349317Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7357725Z /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]’
2025-06-05T23:20:13.7361223Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7362674Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7363498Z    94 |     struct array
2025-06-05T23:20:13.7364028Z       |            ^~~~~
2025-06-05T23:20:13.7365278Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.7366570Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7367228Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7373076Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7384911Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7397661Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7409069Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7419321Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7431768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7441655Z /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]’
2025-06-05T23:20:13.7445985Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7447715Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7448747Z    94 |     struct array
2025-06-05T23:20:13.7449163Z       |            ^~~~~
2025-06-05T23:20:13.7450763Z /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]’
2025-06-05T23:20:13.7452248Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7452981Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7460386Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7473806Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7487349Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7499782Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7512008Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7524437Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7534216Z /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]’
2025-06-05T23:20:13.7538460Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7540196Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7541196Z    94 |     struct array
2025-06-05T23:20:13.7541621Z       |            ^~~~~
2025-06-05T23:20:13.7543151Z /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]’
2025-06-05T23:20:13.7544551Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7545354Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7551293Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7563583Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7575144Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7585499Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7591733Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7598419Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7607677Z /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]’
2025-06-05T23:20:13.7611703Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7613278Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7614211Z    94 |     struct array
2025-06-05T23:20:13.7614628Z       |            ^~~~~
2025-06-05T23:20:13.7615972Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:13.7617258Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7617938Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7624235Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7635555Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7643410Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7649764Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7656003Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7662238Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.7671068Z /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]’
2025-06-05T23:20:13.7675571Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:24:75:   required from here
2025-06-05T23:20:13.7677314Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.7678343Z    94 |     struct array
2025-06-05T23:20:13.7678761Z       |            ^~~~~
2025-06-05T23:20:13.7680255Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:13.7681678Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7682397Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7691113Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7708501Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7726154Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7742477Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7758773Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.7776079Z /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)>]’
2025-06-05T23:20:13.7788228Z /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]’
2025-06-05T23:20:13.7792525Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.7794331Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.7795625Z    94 |     struct array
2025-06-05T23:20:13.7796161Z       |            ^~~~~
2025-06-05T23:20:13.7797840Z /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]’
2025-06-05T23:20:13.7799429Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7800141Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7809798Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.7827923Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7846283Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.7862258Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.7879526Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.7896577Z /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)>]’
2025-06-05T23:20:13.7908788Z /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]’
2025-06-05T23:20:13.7913179Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.7914930Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.7916021Z    94 |     struct array
2025-06-05T23:20:13.7916418Z       |            ^~~~~
2025-06-05T23:20:13.7918116Z /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]’
2025-06-05T23:20:13.7919676Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.7920395Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.7929247Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.7946036Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7965207Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.7981633Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.7997820Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.8014862Z /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)>]’
2025-06-05T23:20:13.8026831Z /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]’
2025-06-05T23:20:13.8031583Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8033654Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8034722Z    94 |     struct array
2025-06-05T23:20:13.8035108Z       |            ^~~~~
2025-06-05T23:20:13.8036767Z /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]’
2025-06-05T23:20:13.8038289Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8039003Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8048710Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.8066997Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8085179Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8102659Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.8119305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.8136252Z /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)>]’
2025-06-05T23:20:13.8147892Z /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]’
2025-06-05T23:20:13.8151566Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8153363Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8154425Z    94 |     struct array
2025-06-05T23:20:13.8154804Z       |            ^~~~~
2025-06-05T23:20:13.8156427Z /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]’
2025-06-05T23:20:13.8158187Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8158907Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8167018Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.8182959Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8200685Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8217075Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.8233365Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.8249408Z /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)>]’
2025-06-05T23:20:13.8261264Z /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]’
2025-06-05T23:20:13.8265815Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8267643Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8268622Z    94 |     struct array
2025-06-05T23:20:13.8269047Z       |            ^~~~~
2025-06-05T23:20:13.8270674Z /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]’
2025-06-05T23:20:13.8272189Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8272912Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8282689Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.8296832Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8313337Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8330838Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.8347698Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.8365117Z /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)>]’
2025-06-05T23:20:13.8377142Z /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]’
2025-06-05T23:20:13.8381462Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8383189Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8384213Z    94 |     struct array
2025-06-05T23:20:13.8384649Z       |            ^~~~~
2025-06-05T23:20:13.8386293Z /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]’
2025-06-05T23:20:13.8387895Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8388604Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8397781Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.8414435Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8431773Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8447905Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.8464276Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.8481102Z /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)>]’
2025-06-05T23:20:13.8493027Z /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]’
2025-06-05T23:20:13.8497406Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8499130Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8500067Z    94 |     struct array
2025-06-05T23:20:13.8500480Z       |            ^~~~~
2025-06-05T23:20:13.8501994Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:13.8503414Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8504140Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8513826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.8532152Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8550680Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8567442Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.8583852Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.8601190Z /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)>]’
2025-06-05T23:20:13.8613081Z /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]’
2025-06-05T23:20:13.8617459Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8619135Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8620138Z    94 |     struct array
2025-06-05T23:20:13.8620548Z       |            ^~~~~
2025-06-05T23:20:13.8622043Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:13.8623487Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8624218Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8633252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.8650031Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8667688Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8684001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.8699915Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.8717038Z /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)>]’
2025-06-05T23:20:13.8729007Z /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]’
2025-06-05T23:20:13.8733358Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8735198Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8736242Z    94 |     struct array
2025-06-05T23:20:13.8736665Z       |            ^~~~~
2025-06-05T23:20:13.8738242Z /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]’
2025-06-05T23:20:13.8739706Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8740435Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8750064Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.8768339Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8786966Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.8804164Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.8820482Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.8837130Z /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)>]’
2025-06-05T23:20:13.8849407Z /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]’
2025-06-05T23:20:13.8853785Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8855453Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8856489Z    94 |     struct array
2025-06-05T23:20:13.8856929Z       |            ^~~~~
2025-06-05T23:20:13.8858539Z /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]’
2025-06-05T23:20:13.8859998Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8860732Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8869951Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.8886564Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8904199Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.8920515Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.8936576Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.8953690Z /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)>]’
2025-06-05T23:20:13.8965883Z /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]’
2025-06-05T23:20:13.8970199Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.8972238Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.8973240Z    94 |     struct array
2025-06-05T23:20:13.8973672Z       |            ^~~~~
2025-06-05T23:20:13.8975204Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:13.8976641Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.8977369Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.8986904Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9004545Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9022542Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9039178Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9055303Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9072081Z /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)>]’
2025-06-05T23:20:13.9083905Z /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]’
2025-06-05T23:20:13.9088229Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_or.cpp:34:75:   required from here
2025-06-05T23:20:13.9089956Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:13.9090964Z    94 |     struct array
2025-06-05T23:20:13.9091393Z       |            ^~~~~
2025-06-05T23:20:13.9092868Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:13.9094530Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9095394Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9096042Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:13.9096709Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:13.9097390Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:13.9098116Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:13.9099010Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:13.9100283Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:20:13.9101436Z                  from /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:9:
2025-06-05T23:20:13.9108638Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9121448Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9134579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9146457Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.9158764Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.9171408Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9181367Z /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]’
2025-06-05T23:20:13.9185735Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9187523Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9188682Z    94 |     struct array
2025-06-05T23:20:13.9189091Z       |            ^~~~~
2025-06-05T23:20:13.9190731Z /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]’
2025-06-05T23:20:13.9192289Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9192977Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9200379Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9214183Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9228350Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9241060Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9253674Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9266541Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9276938Z /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]’
2025-06-05T23:20:13.9280989Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9282627Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9283602Z    94 |     struct array
2025-06-05T23:20:13.9284014Z       |            ^~~~~
2025-06-05T23:20:13.9285618Z /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]’
2025-06-05T23:20:13.9287005Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9287671Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9294443Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9307194Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9320268Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9331838Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.9344138Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.9356708Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9366671Z /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]’
2025-06-05T23:20:13.9371003Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9372801Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9373859Z    94 |     struct array
2025-06-05T23:20:13.9374269Z       |            ^~~~~
2025-06-05T23:20:13.9375930Z /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]’
2025-06-05T23:20:13.9377455Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9378142Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9385414Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9398814Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9412375Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9424695Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9437402Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9449157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9457322Z /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]’
2025-06-05T23:20:13.9461456Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9463094Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9464193Z    94 |     struct array
2025-06-05T23:20:13.9464541Z       |            ^~~~~
2025-06-05T23:20:13.9465999Z /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]’
2025-06-05T23:20:13.9467427Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9468185Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9473037Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9480421Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9487037Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9496613Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.9508236Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.9516788Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9526217Z /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]’
2025-06-05T23:20:13.9530590Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9532409Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9533469Z    94 |     struct array
2025-06-05T23:20:13.9533893Z       |            ^~~~~
2025-06-05T23:20:13.9535548Z /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]’
2025-06-05T23:20:13.9537096Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9537765Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9545141Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9558410Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9571807Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9584633Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9597224Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9609439Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9619327Z /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]’
2025-06-05T23:20:13.9623583Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9625669Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9626708Z    94 |     struct array
2025-06-05T23:20:13.9627131Z       |            ^~~~~
2025-06-05T23:20:13.9628727Z /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]’
2025-06-05T23:20:13.9630241Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9630919Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9637345Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9648971Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9660579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9671477Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.9683865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.9696317Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9704179Z /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]’
2025-06-05T23:20:13.9707448Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9708852Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9709617Z    94 |     struct array
2025-06-05T23:20:13.9709997Z       |            ^~~~~
2025-06-05T23:20:13.9711317Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.9712501Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9713178Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9720573Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9733515Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9742229Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9752820Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9764657Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9776296Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9785616Z /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]’
2025-06-05T23:20:13.9789858Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9791419Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9792318Z    94 |     struct array
2025-06-05T23:20:13.9792719Z       |            ^~~~~
2025-06-05T23:20:13.9794419Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:13.9795717Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9796431Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9803011Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9815471Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9828340Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:13.9839984Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:13.9851887Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:13.9864209Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9874130Z /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]’
2025-06-05T23:20:13.9878444Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9880196Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9881206Z    94 |     struct array
2025-06-05T23:20:13.9881612Z       |            ^~~~~
2025-06-05T23:20:13.9883158Z /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]’
2025-06-05T23:20:13.9884614Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9885332Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9892475Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:13.9906064Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9920243Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:13.9932883Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:13.9945063Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:13.9957599Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:13.9967739Z /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]’
2025-06-05T23:20:13.9971881Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:13.9973591Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:13.9974501Z    94 |     struct array
2025-06-05T23:20:13.9974927Z       |            ^~~~~
2025-06-05T23:20:13.9976488Z /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]’
2025-06-05T23:20:13.9978190Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:13.9979012Z       |                                                        ^~~~~~~~
2025-06-05T23:20:13.9985949Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:13.9998654Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0011237Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0022554Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.0034431Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.0047003Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.0057019Z /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]’
2025-06-05T23:20:14.0061442Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:14.0063203Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.0064364Z    94 |     struct array
2025-06-05T23:20:14.0064759Z       |            ^~~~~
2025-06-05T23:20:14.0066312Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.0067784Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0068491Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0075702Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.0088846Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0102791Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0115553Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.0127729Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.0139978Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.0149851Z /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]’
2025-06-05T23:20:14.0154263Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:24:76:   required from here
2025-06-05T23:20:14.0155948Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.0156951Z    94 |     struct array
2025-06-05T23:20:14.0157374Z       |            ^~~~~
2025-06-05T23:20:14.0158887Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.0160253Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0160954Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0169964Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.0187292Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0204870Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0220497Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.0237233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.0254400Z /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)>]’
2025-06-05T23:20:14.0266583Z /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]’
2025-06-05T23:20:14.0271177Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0272988Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0274004Z    94 |     struct array
2025-06-05T23:20:14.0274371Z       |            ^~~~~
2025-06-05T23:20:14.0276030Z /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]’
2025-06-05T23:20:14.0277592Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0278262Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0287891Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.0305443Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0320028Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0334843Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.0350986Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.0364806Z /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)>]’
2025-06-05T23:20:14.0374679Z /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]’
2025-06-05T23:20:14.0378836Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0380658Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0381731Z    94 |     struct array
2025-06-05T23:20:14.0382153Z       |            ^~~~~
2025-06-05T23:20:14.0383803Z /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]’
2025-06-05T23:20:14.0385362Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0386088Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0395293Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.0412625Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0429047Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0445232Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.0461427Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.0478835Z /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)>]’
2025-06-05T23:20:14.0490826Z /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]’
2025-06-05T23:20:14.0495057Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0496844Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0497909Z    94 |     struct array
2025-06-05T23:20:14.0498349Z       |            ^~~~~
2025-06-05T23:20:14.0500028Z /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]’
2025-06-05T23:20:14.0501597Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0502279Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0512053Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.0530114Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0548448Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0565261Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.0581503Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.0598743Z /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)>]’
2025-06-05T23:20:14.0610840Z /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]’
2025-06-05T23:20:14.0615176Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0616949Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0617988Z    94 |     struct array
2025-06-05T23:20:14.0618417Z       |            ^~~~~
2025-06-05T23:20:14.0620074Z /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]’
2025-06-05T23:20:14.0621591Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0622325Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0631346Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.0648174Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0665396Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0681355Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.0697373Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.0714558Z /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)>]’
2025-06-05T23:20:14.0726569Z /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]’
2025-06-05T23:20:14.0730910Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0732694Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0733731Z    94 |     struct array
2025-06-05T23:20:14.0734172Z       |            ^~~~~
2025-06-05T23:20:14.0735801Z /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]’
2025-06-05T23:20:14.0737348Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0738026Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0747738Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.0765973Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0784299Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0801392Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.0818264Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.0836181Z /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)>]’
2025-06-05T23:20:14.0848052Z /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]’
2025-06-05T23:20:14.0852345Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0853806Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0854734Z    94 |     struct array
2025-06-05T23:20:14.0855102Z       |            ^~~~~
2025-06-05T23:20:14.0856677Z /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]’
2025-06-05T23:20:14.0858203Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0858925Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0867979Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.0885198Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0902439Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.0917844Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.0928394Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.0937140Z /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)>]’
2025-06-05T23:20:14.0943222Z /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]’
2025-06-05T23:20:14.0945444Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.0946315Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.0946857Z    94 |     struct array
2025-06-05T23:20:14.0947091Z       |            ^~~~~
2025-06-05T23:20:14.0947954Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.0948703Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.0949088Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.0954004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.0963130Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0973431Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.0982669Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.0992584Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1003473Z /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)>]’
2025-06-05T23:20:14.1011717Z /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]’
2025-06-05T23:20:14.1015090Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.1016658Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.1017600Z    94 |     struct array
2025-06-05T23:20:14.1018002Z       |            ^~~~~
2025-06-05T23:20:14.1019484Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.1020835Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1021589Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1030128Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.1045168Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1057782Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1068589Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.1077834Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.1087697Z /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)>]’
2025-06-05T23:20:14.1094537Z /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]’
2025-06-05T23:20:14.1097068Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.1098140Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.1099011Z    94 |     struct array
2025-06-05T23:20:14.1099348Z       |            ^~~~~
2025-06-05T23:20:14.1100548Z /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]’
2025-06-05T23:20:14.1101944Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1102578Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1111783Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.1128180Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1140167Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1149141Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.1161775Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1176120Z /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)>]’
2025-06-05T23:20:14.1182266Z /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]’
2025-06-05T23:20:14.1184545Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.1185447Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.1186006Z    94 |     struct array
2025-06-05T23:20:14.1186238Z       |            ^~~~~
2025-06-05T23:20:14.1187083Z /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]’
2025-06-05T23:20:14.1187952Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1188561Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1195010Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.1210568Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1224538Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1240037Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.1256231Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.1273551Z /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)>]’
2025-06-05T23:20:14.1310640Z /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]’
2025-06-05T23:20:14.1315026Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.1316809Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.1317866Z    94 |     struct array
2025-06-05T23:20:14.1318295Z       |            ^~~~~
2025-06-05T23:20:14.1319787Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.1321216Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1321941Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1331712Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.1350136Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1368962Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1386865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.1403924Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1421156Z /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)>]’
2025-06-05T23:20:14.1433170Z /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]’
2025-06-05T23:20:14.1437540Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_and.cpp:34:76:   required from here
2025-06-05T23:20:14.1439290Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.1440281Z    94 |     struct array
2025-06-05T23:20:14.1440711Z       |            ^~~~~
2025-06-05T23:20:14.1442229Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.1443661Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1444393Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1445657Z [ 50%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_clamp.cpp.o
2025-06-05T23:20:14.1447382Z [ 50%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_clone.cpp.o
2025-06-05T23:20:14.1449167Z [ 51%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_constant_pad_nd.cpp.o
2025-06-05T23:20:14.1450959Z [ 51%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_convolution.cpp.o
2025-06-05T23:20:14.1452100Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.1452721Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.1453395Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.1454077Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.1455088Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:14.1456393Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/bitwise_op.h:11,
2025-06-05T23:20:14.1457564Z                  from /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:9:
2025-06-05T23:20:14.1464689Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.1477723Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1490947Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1502415Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.1511631Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.1521893Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1531761Z /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]’
2025-06-05T23:20:14.1536144Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.1537959Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.1539047Z    94 |     struct array
2025-06-05T23:20:14.1539476Z       |            ^~~~~
2025-06-05T23:20:14.1541163Z /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]’
2025-06-05T23:20:14.1542779Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1543520Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1550904Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.1564743Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1578070Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1591308Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.1603877Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1616373Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1626411Z /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]’
2025-06-05T23:20:14.1630817Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.1632573Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.1633643Z    94 |     struct array
2025-06-05T23:20:14.1634050Z       |            ^~~~~
2025-06-05T23:20:14.1635901Z /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]’
2025-06-05T23:20:14.1637583Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1638290Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1645044Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.1657364Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1670632Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1682566Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.1694819Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.1707257Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1717176Z /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]’
2025-06-05T23:20:14.1721426Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.1723233Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.1724280Z    94 |     struct array
2025-06-05T23:20:14.1724687Z       |            ^~~~~
2025-06-05T23:20:14.1726345Z /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]’
2025-06-05T23:20:14.1727923Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1728650Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1736113Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.1749793Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1764331Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1776985Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.1789744Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1802281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1812327Z /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]’
2025-06-05T23:20:14.1816623Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.1818396Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.1819465Z    94 |     struct array
2025-06-05T23:20:14.1819859Z       |            ^~~~~
2025-06-05T23:20:14.1821521Z /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]’
2025-06-05T23:20:14.1823361Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1824064Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1830897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.1843408Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1856359Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.1868257Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.1880119Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.1892778Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1902725Z /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]’
2025-06-05T23:20:14.1906985Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.1908863Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.1909889Z    94 |     struct array
2025-06-05T23:20:14.1910321Z       |            ^~~~~
2025-06-05T23:20:14.1911903Z /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]’
2025-06-05T23:20:14.1913362Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.1914089Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.1921393Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.1934951Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1948939Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.1961426Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.1973692Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.1985949Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.1996001Z /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]’
2025-06-05T23:20:14.2000349Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2002114Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2003168Z    94 |     struct array
2025-06-05T23:20:14.2003592Z       |            ^~~~~
2025-06-05T23:20:14.2005196Z /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]’
2025-06-05T23:20:14.2006707Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2007630Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2014352Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.2026433Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2039068Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2050584Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.2062513Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.2074729Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2084789Z /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]’
2025-06-05T23:20:14.2089174Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2090865Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2091880Z    94 |     struct array
2025-06-05T23:20:14.2092315Z       |            ^~~~~
2025-06-05T23:20:14.2093795Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.2095249Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2095981Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2103214Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.2116956Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2130924Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2143549Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.2156002Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.2168251Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2177844Z /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]’
2025-06-05T23:20:14.2182179Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2183884Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2184870Z    94 |     struct array
2025-06-05T23:20:14.2185277Z       |            ^~~~~
2025-06-05T23:20:14.2186763Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.2188264Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2188956Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2195824Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.2207487Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2220448Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2232219Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.2244120Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.2256509Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2266750Z /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]’
2025-06-05T23:20:14.2271241Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2272904Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2273967Z    94 |     struct array
2025-06-05T23:20:14.2274393Z       |            ^~~~~
2025-06-05T23:20:14.2275977Z /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]’
2025-06-05T23:20:14.2277480Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2278203Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2285557Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.2299260Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2313232Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2326131Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.2338339Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.2350768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2360531Z /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]’
2025-06-05T23:20:14.2365035Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2366764Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2367816Z    94 |     struct array
2025-06-05T23:20:14.2368230Z       |            ^~~~~
2025-06-05T23:20:14.2369804Z /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]’
2025-06-05T23:20:14.2371277Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2371992Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2378821Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.2390490Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2401290Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2411800Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.2423445Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.2435538Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2445477Z /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]’
2025-06-05T23:20:14.2449818Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2451540Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2452507Z    94 |     struct array
2025-06-05T23:20:14.2452940Z       |            ^~~~~
2025-06-05T23:20:14.2454432Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.2455884Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2456547Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2463609Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.2477084Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2490840Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2503485Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.2516190Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.2528132Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:14.2537773Z /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]’
2025-06-05T23:20:14.2541899Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:24:76:   required from here
2025-06-05T23:20:14.2543537Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.2544576Z    94 |     struct array
2025-06-05T23:20:14.2544997Z       |            ^~~~~
2025-06-05T23:20:14.2546556Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.2548149Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2548888Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2558420Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.2575391Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2592839Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2608805Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.2624774Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.2641981Z /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)>]’
2025-06-05T23:20:14.2653940Z /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]’
2025-06-05T23:20:14.2658249Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.2660010Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.2661092Z    94 |     struct array
2025-06-05T23:20:14.2661511Z       |            ^~~~~
2025-06-05T23:20:14.2663183Z /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]’
2025-06-05T23:20:14.2664947Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2665642Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2675169Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.2692630Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2710658Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2727037Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.2744122Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.2761333Z /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)>]’
2025-06-05T23:20:14.2773188Z /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]’
2025-06-05T23:20:14.2777560Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.2779369Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.2780553Z    94 |     struct array
2025-06-05T23:20:14.2780994Z       |            ^~~~~
2025-06-05T23:20:14.2782706Z /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]’
2025-06-05T23:20:14.2784246Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2784978Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2794193Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.2811083Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2828366Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.2843615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.2859379Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.2876512Z /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)>]’
2025-06-05T23:20:14.2888439Z /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]’
2025-06-05T23:20:14.2892751Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.2894523Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.2895576Z    94 |     struct array
2025-06-05T23:20:14.2896008Z       |            ^~~~~
2025-06-05T23:20:14.2897668Z /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]’
2025-06-05T23:20:14.2899204Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.2899879Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.2909408Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.2926534Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2940605Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.2956954Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.2973393Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.2990443Z /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)>]’
2025-06-05T23:20:14.3002413Z /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]’
2025-06-05T23:20:14.3006643Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3008401Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3009482Z    94 |     struct array
2025-06-05T23:20:14.3009904Z       |            ^~~~~
2025-06-05T23:20:14.3011535Z /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]’
2025-06-05T23:20:14.3013107Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3013821Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3022897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.3040178Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3058140Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3074622Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.3090461Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.3107549Z /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)>]’
2025-06-05T23:20:14.3119738Z /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]’
2025-06-05T23:20:14.3124229Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3125959Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3126957Z    94 |     struct array
2025-06-05T23:20:14.3127360Z       |            ^~~~~
2025-06-05T23:20:14.3128988Z /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]’
2025-06-05T23:20:14.3130498Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3131222Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3140898Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.3159118Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3178109Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3195614Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.3212138Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.3229310Z /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)>]’
2025-06-05T23:20:14.3240867Z /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]’
2025-06-05T23:20:14.3245222Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3247146Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3248281Z    94 |     struct array
2025-06-05T23:20:14.3248709Z       |            ^~~~~
2025-06-05T23:20:14.3250327Z /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]’
2025-06-05T23:20:14.3251837Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3252569Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3261514Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.3278433Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3295762Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3312210Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.3328415Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.3345548Z /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)>]’
2025-06-05T23:20:14.3357663Z /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]’
2025-06-05T23:20:14.3362072Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3363905Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3364705Z    94 |     struct array
2025-06-05T23:20:14.3365107Z       |            ^~~~~
2025-06-05T23:20:14.3366603Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.3368021Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3368745Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3378423Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.3395767Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3412775Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3430218Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.3446645Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.3463422Z /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)>]’
2025-06-05T23:20:14.3475216Z /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]’
2025-06-05T23:20:14.3479482Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3481196Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3482188Z    94 |     struct array
2025-06-05T23:20:14.3482602Z       |            ^~~~~
2025-06-05T23:20:14.3484043Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.3485448Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3486158Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3495364Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.3512250Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3529384Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3541993Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.3555022Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.3569856Z /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)>]’
2025-06-05T23:20:14.3580975Z /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]’
2025-06-05T23:20:14.3584975Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3586664Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3587647Z    94 |     struct array
2025-06-05T23:20:14.3588040Z       |            ^~~~~
2025-06-05T23:20:14.3589518Z /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]’
2025-06-05T23:20:14.3590838Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3591531Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3600326Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.3618169Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3635673Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3652081Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.3668562Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.3685472Z /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)>]’
2025-06-05T23:20:14.3696502Z /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]’
2025-06-05T23:20:14.3700595Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3702248Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3703183Z    94 |     struct array
2025-06-05T23:20:14.3703590Z       |            ^~~~~
2025-06-05T23:20:14.3705077Z /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]’
2025-06-05T23:20:14.3706458Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3707150Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3716149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.3732755Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3749908Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3764996Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.3781005Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.3797980Z /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)>]’
2025-06-05T23:20:14.3809888Z /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]’
2025-06-05T23:20:14.3813884Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3815385Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3816334Z    94 |     struct array
2025-06-05T23:20:14.3816715Z       |            ^~~~~
2025-06-05T23:20:14.3818163Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.3819573Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3820236Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3825599Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.3835490Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3844873Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3853606Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.3862091Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.3871366Z /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)>]’
2025-06-05T23:20:14.3877380Z /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]’
2025-06-05T23:20:14.3879585Z /pytorch/executorch/kernels/portable/cpu/op_bitwise_xor.cpp:34:76:   required from here
2025-06-05T23:20:14.3880460Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3881002Z    94 |     struct array
2025-06-05T23:20:14.3881238Z       |            ^~~~~
2025-06-05T23:20:14.3882033Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.3882886Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3883268Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3884011Z [ 51%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_convolution_backward.cpp.o
2025-06-05T23:20:14.3884951Z [ 52%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_copy.cpp.o
2025-06-05T23:20:14.3885816Z [ 52%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cos.cpp.o
2025-06-05T23:20:14.3886665Z [ 52%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cosh.cpp.o
2025-06-05T23:20:14.3887557Z [ 53%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cumsum.cpp.o
2025-06-05T23:20:14.3888464Z [ 53%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_detach_copy.cpp.o
2025-06-05T23:20:14.3889390Z [ 53%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_diagonal_copy.cpp.o
2025-06-05T23:20:14.3890009Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.3890360Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.3890751Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.3891141Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.3891553Z                  from /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:9:
2025-06-05T23:20:14.3896003Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.3903808Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3911785Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.3919109Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.3926588Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.3934342Z /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)>]’
2025-06-05T23:20:14.3939581Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.3941288Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.3942339Z    94 |     struct array
2025-06-05T23:20:14.3942755Z       |            ^~~~~
2025-06-05T23:20:14.3944404Z /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]’
2025-06-05T23:20:14.3945948Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.3946666Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.3955332Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.3971522Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.3988601Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4003825Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4018820Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4034091Z /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)>]’
2025-06-05T23:20:14.4041506Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4043418Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4044491Z    94 |     struct array
2025-06-05T23:20:14.4044920Z       |            ^~~~~
2025-06-05T23:20:14.4046597Z /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]’
2025-06-05T23:20:14.4048017Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4048691Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4056864Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.4072294Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4087859Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4102086Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.4117053Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.4132135Z /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)>]’
2025-06-05T23:20:14.4139431Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4141164Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4142203Z    94 |     struct array
2025-06-05T23:20:14.4142612Z       |            ^~~~~
2025-06-05T23:20:14.4144257Z /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]’
2025-06-05T23:20:14.4145786Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4146496Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4155281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.4171963Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4188837Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4204164Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4219202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4233993Z /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)>]’
2025-06-05T23:20:14.4241292Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4243076Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4244162Z    94 |     struct array
2025-06-05T23:20:14.4244584Z       |            ^~~~~
2025-06-05T23:20:14.4246209Z /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]’
2025-06-05T23:20:14.4247708Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4248409Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4256305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.4270765Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4286246Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4300528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.4315055Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.4328798Z /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)>]’
2025-06-05T23:20:14.4335624Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4337244Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4338264Z    94 |     struct array
2025-06-05T23:20:14.4338672Z       |            ^~~~~
2025-06-05T23:20:14.4340210Z /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]’
2025-06-05T23:20:14.4341098Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4341489Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4349393Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.4365099Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4381107Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4396149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4410536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4424231Z /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)>]’
2025-06-05T23:20:14.4428560Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4429517Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4430095Z    94 |     struct array
2025-06-05T23:20:14.4430344Z       |            ^~~~~
2025-06-05T23:20:14.4431186Z /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]’
2025-06-05T23:20:14.4432003Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4432388Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4436532Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.4444540Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4457917Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4471249Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.4485012Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.4499007Z /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)>]’
2025-06-05T23:20:14.4503526Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4505132Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4506250Z    94 |     struct array
2025-06-05T23:20:14.4506771Z       |            ^~~~~
2025-06-05T23:20:14.4508263Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.4509654Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4510375Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4518866Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.4535146Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4552038Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4567620Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4582753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4597950Z /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)>]’
2025-06-05T23:20:14.4605272Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4606964Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4607962Z    94 |     struct array
2025-06-05T23:20:14.4608390Z       |            ^~~~~
2025-06-05T23:20:14.4609889Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:14.4611335Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4612063Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4620285Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.4635708Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4651444Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4665860Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.4680511Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.4695710Z /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)>]’
2025-06-05T23:20:14.4703124Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4704846Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4705840Z    94 |     struct array
2025-06-05T23:20:14.4706249Z       |            ^~~~~
2025-06-05T23:20:14.4707922Z /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]’
2025-06-05T23:20:14.4709423Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4710161Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4718677Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.4734267Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4751292Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4766865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4781815Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4796892Z /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)>]’
2025-06-05T23:20:14.4804138Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4805896Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4806945Z    94 |     struct array
2025-06-05T23:20:14.4807360Z       |            ^~~~~
2025-06-05T23:20:14.4808958Z /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]’
2025-06-05T23:20:14.4810468Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4811172Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4819467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.4834887Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4850606Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.4865089Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.4879351Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.4894317Z /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)>]’
2025-06-05T23:20:14.4901532Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.4903185Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.4904179Z    94 |     struct array
2025-06-05T23:20:14.4904589Z       |            ^~~~~
2025-06-05T23:20:14.4906118Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:14.4907443Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.4908185Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.4916834Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.4932813Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4949829Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.4964966Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.4979455Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.4994581Z /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)>]’
2025-06-05T23:20:14.5001891Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.5003592Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.5004622Z    94 |     struct array
2025-06-05T23:20:14.5005052Z       |            ^~~~~
2025-06-05T23:20:14.5006884Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:14.5008362Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5009074Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5017278Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5032468Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5047900Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5061792Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5076454Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5091192Z /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)>]’
2025-06-05T23:20:14.5098308Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.5100013Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.5101028Z    94 |     struct array
2025-06-05T23:20:14.5101455Z       |            ^~~~~
2025-06-05T23:20:14.5102988Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:14.5104445Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5105144Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5113849Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5129912Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5146048Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5161235Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.5176392Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.5191701Z /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)>]’
2025-06-05T23:20:14.5198197Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.5199876Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.5200897Z    94 |     struct array
2025-06-05T23:20:14.5201328Z       |            ^~~~~
2025-06-05T23:20:14.5202886Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:14.5204380Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5205114Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5213164Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5228040Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5243431Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5257457Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5271896Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5279926Z /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)>]’
2025-06-05T23:20:14.5280481Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.5281404Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.5281549Z    94 |     struct array
2025-06-05T23:20:14.5281688Z       |            ^~~~~
2025-06-05T23:20:14.5282942Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.5283281Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5283469Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5291827Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5300763Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5309599Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5317364Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.5325824Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.5334190Z /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)>]’
2025-06-05T23:20:14.5334774Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:136:3:   required from here
2025-06-05T23:20:14.5335697Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:14.5335863Z    94 |     struct array
2025-06-05T23:20:14.5336002Z       |            ^~~~~
2025-06-05T23:20:14.5337162Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:14.5337461Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5337659Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5347889Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5358777Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5369989Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5379757Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5390598Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5400886Z /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)>]’
2025-06-05T23:20:14.5401549Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5402552Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5402733Z    94 |     struct array
2025-06-05T23:20:14.5402877Z       |            ^~~~~
2025-06-05T23:20:14.5404326Z /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]’
2025-06-05T23:20:14.5404659Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5404847Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5415518Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5426960Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5438423Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5448702Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.5459418Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.5469969Z /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)>]’
2025-06-05T23:20:14.5470641Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5471653Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5471815Z    94 |     struct array
2025-06-05T23:20:14.5471965Z       |            ^~~~~
2025-06-05T23:20:14.5473401Z /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]’
2025-06-05T23:20:14.5473719Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5473908Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5484162Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5495032Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5505783Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5515570Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5526308Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5536622Z /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)>]’
2025-06-05T23:20:14.5537296Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5538271Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5538425Z    94 |     struct array
2025-06-05T23:20:14.5538576Z       |            ^~~~~
2025-06-05T23:20:14.5539947Z /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]’
2025-06-05T23:20:14.5540281Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5540480Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5551146Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5562561Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5573842Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5584111Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.5594903Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.5614714Z /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)>]’
2025-06-05T23:20:14.5624362Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5626135Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5627214Z    94 |     struct array
2025-06-05T23:20:14.5627698Z       |            ^~~~~
2025-06-05T23:20:14.5629351Z /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]’
2025-06-05T23:20:14.5630974Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5631708Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5642210Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5662083Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5681408Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5700149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5719236Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5738589Z /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)>]’
2025-06-05T23:20:14.5748097Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5749834Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5750876Z    94 |     struct array
2025-06-05T23:20:14.5751270Z       |            ^~~~~
2025-06-05T23:20:14.5752861Z /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]’
2025-06-05T23:20:14.5754366Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5755074Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5766255Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5786895Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5807904Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.5827802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.5847251Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.5866497Z /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)>]’
2025-06-05T23:20:14.5875683Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5877437Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5878461Z    94 |     struct array
2025-06-05T23:20:14.5878874Z       |            ^~~~~
2025-06-05T23:20:14.5880483Z /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]’
2025-06-05T23:20:14.5881985Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5882687Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5892977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.5911773Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5931291Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.5942329Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.5953086Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.5966737Z /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)>]’
2025-06-05T23:20:14.5972136Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.5973187Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.5973770Z    94 |     struct array
2025-06-05T23:20:14.5974013Z       |            ^~~~~
2025-06-05T23:20:14.5974873Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:20:14.5975666Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.5976110Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.5982334Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.5997084Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6018008Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6061532Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.6084604Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.6104574Z /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)>]’
2025-06-05T23:20:14.6114099Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6116050Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6117045Z    94 |     struct array
2025-06-05T23:20:14.6117444Z       |            ^~~~~
2025-06-05T23:20:14.6118925Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:20:14.6120340Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6121049Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6131396Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.6151006Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6171212Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6189421Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.6208040Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.6226076Z /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)>]’
2025-06-05T23:20:14.6234845Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6236440Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6237466Z    94 |     struct array
2025-06-05T23:20:14.6237890Z       |            ^~~~~
2025-06-05T23:20:14.6239699Z /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]’
2025-06-05T23:20:14.6241210Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6241870Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6252018Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.6270737Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6291371Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6315123Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.6337282Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.6360875Z /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)>]’
2025-06-05T23:20:14.6371530Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6373523Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6374837Z    94 |     struct array
2025-06-05T23:20:14.6375406Z       |            ^~~~~
2025-06-05T23:20:14.6377769Z /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]’
2025-06-05T23:20:14.6379517Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6380394Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6391751Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.6411592Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6431425Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6450467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.6469786Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.6489656Z /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)>]’
2025-06-05T23:20:14.6499162Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6500740Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6501833Z    94 |     struct array
2025-06-05T23:20:14.6502394Z       |            ^~~~~
2025-06-05T23:20:14.6503982Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:20:14.6505442Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6506152Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6517396Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.6537968Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6559190Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6579229Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.6598492Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.6617849Z /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)>]’
2025-06-05T23:20:14.6627184Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6628956Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6629953Z    94 |     struct array
2025-06-05T23:20:14.6630363Z       |            ^~~~~
2025-06-05T23:20:14.6631907Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:20:14.6633360Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6634071Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6644608Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.6663539Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6683536Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6701735Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.6713165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.6723569Z /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)>]’
2025-06-05T23:20:14.6729347Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6730612Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6731572Z    94 |     struct array
2025-06-05T23:20:14.6731956Z       |            ^~~~~
2025-06-05T23:20:14.6733512Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:20:14.6734924Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6735619Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6742114Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.6760770Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6781272Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6792696Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.6803151Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.6814047Z /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)>]’
2025-06-05T23:20:14.6821951Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6823324Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6824094Z    94 |     struct array
2025-06-05T23:20:14.6824452Z       |            ^~~~~
2025-06-05T23:20:14.6825665Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:20:14.6826792Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6827349Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6835977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.6854170Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6870333Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.6880050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.6889718Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.6899585Z /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)>]’
2025-06-05T23:20:14.6904355Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6905230Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6905763Z    94 |     struct array
2025-06-05T23:20:14.6906006Z       |            ^~~~~
2025-06-05T23:20:14.6906914Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:20:14.6907760Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6908147Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6913767Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.6924246Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6935123Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.6945209Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.6955149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.6965308Z /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)>]’
2025-06-05T23:20:14.6970100Z /pytorch/executorch/kernels/portable/cpu/op_clamp.cpp:215:3:   required from here
2025-06-05T23:20:14.6970971Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:20:14.6971516Z    94 |     struct array
2025-06-05T23:20:14.6971762Z       |            ^~~~~
2025-06-05T23:20:14.6972670Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:20:14.6973508Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.6973885Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.6974540Z [ 54%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_div.cpp.o
2025-06-05T23:20:14.6975401Z [ 54%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_elu.cpp.o
2025-06-05T23:20:14.6976281Z [ 54%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_embedding.cpp.o
2025-06-05T23:20:14.6976889Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.6977242Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.6977634Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.6978023Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.6978515Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.6979178Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.6979773Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.6984190Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.6992098Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7000203Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7008163Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7015778Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7026995Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7034384Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7036169Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7037235Z    94 |     struct array
2025-06-05T23:20:14.7037650Z       |            ^~~~~
2025-06-05T23:20:14.7039292Z /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]’
2025-06-05T23:20:14.7040847Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7041535Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7050508Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.7066095Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7083381Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7099059Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.7114422Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.7129900Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7137312Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7139107Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7140199Z    94 |     struct array
2025-06-05T23:20:14.7140629Z       |            ^~~~~
2025-06-05T23:20:14.7142286Z /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]’
2025-06-05T23:20:14.7143865Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7144575Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7152790Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.7168944Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7184073Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7197569Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7210741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7225079Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7232283Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7234299Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7235355Z    94 |     struct array
2025-06-05T23:20:14.7235786Z       |            ^~~~~
2025-06-05T23:20:14.7237423Z /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]’
2025-06-05T23:20:14.7238922Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7239621Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7247829Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.7264079Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7280271Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7294417Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.7307732Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.7321190Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7327974Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7329550Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7330448Z    94 |     struct array
2025-06-05T23:20:14.7330812Z       |            ^~~~~
2025-06-05T23:20:14.7332213Z /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]’
2025-06-05T23:20:14.7333554Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7334195Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7341717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.7356850Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7367087Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7374394Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7381867Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7392961Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7400158Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7401931Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7403001Z    94 |     struct array
2025-06-05T23:20:14.7403425Z       |            ^~~~~
2025-06-05T23:20:14.7405050Z /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]’
2025-06-05T23:20:14.7406562Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7407295Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7416018Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.7432698Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7450012Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7466493Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.7481816Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.7497061Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7504339Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7506054Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7507101Z    94 |     struct array
2025-06-05T23:20:14.7507519Z       |            ^~~~~
2025-06-05T23:20:14.7509233Z /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]’
2025-06-05T23:20:14.7510701Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7511413Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7519870Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.7534972Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7550396Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7564739Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7579551Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7594836Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7602106Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7603782Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7604897Z    94 |     struct array
2025-06-05T23:20:14.7605310Z       |            ^~~~~
2025-06-05T23:20:14.7606803Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.7608248Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7608975Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7617674Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.7634066Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7651095Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7666475Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.7681755Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.7696712Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7704258Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7705925Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7706892Z    94 |     struct array
2025-06-05T23:20:14.7707314Z       |            ^~~~~
2025-06-05T23:20:14.7708865Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.7710291Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7711028Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7719083Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.7734377Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7749875Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7764153Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7778975Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7794241Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7801438Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7803135Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7804185Z    94 |     struct array
2025-06-05T23:20:14.7804612Z       |            ^~~~~
2025-06-05T23:20:14.7806201Z /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]’
2025-06-05T23:20:14.7807702Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7808414Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7817156Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.7833695Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7850548Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.7866443Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.7880782Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.7895709Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7903029Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.7904713Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.7905786Z    94 |     struct array
2025-06-05T23:20:14.7906195Z       |            ^~~~~
2025-06-05T23:20:14.7907844Z /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]’
2025-06-05T23:20:14.7909338Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.7910041Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.7918197Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.7932892Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7948599Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.7962871Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.7977747Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.7992686Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.7999951Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8001641Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8002648Z    94 |     struct array
2025-06-05T23:20:14.8003081Z       |            ^~~~~
2025-06-05T23:20:14.8004629Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:14.8006089Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8006771Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8015635Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8031957Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8048857Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8064188Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.8079678Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.8095208Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8102288Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8103978Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8104978Z    94 |     struct array
2025-06-05T23:20:14.8105414Z       |            ^~~~~
2025-06-05T23:20:14.8106907Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:14.8108600Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8109406Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8118288Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.8133832Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8149418Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8163869Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.8177371Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.8191620Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8197828Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8199332Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8200496Z    94 |     struct array
2025-06-05T23:20:14.8200879Z       |            ^~~~~
2025-06-05T23:20:14.8202232Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:14.8203543Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8204222Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8212243Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8227025Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8243968Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8259612Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.8274974Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.8289651Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8296973Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8298605Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8299617Z    94 |     struct array
2025-06-05T23:20:14.8300049Z       |            ^~~~~
2025-06-05T23:20:14.8301611Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:14.8303057Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8303801Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8312127Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.8327723Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8343421Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8357861Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.8372780Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.8388270Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8394661Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8395865Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8396624Z    94 |     struct array
2025-06-05T23:20:14.8396858Z       |            ^~~~~
2025-06-05T23:20:14.8397380Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:14.8398086Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:14.8398743Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:14.8399512Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.8400366Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.8401095Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.8401731Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8403000Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:14.8403859Z   384 |   unsigned short x;
2025-06-05T23:20:14.8404112Z       |                  ^
2025-06-05T23:20:14.8404403Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.8404866Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.8405253Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.8405629Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.8406108Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.8407163Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.8408038Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8412975Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8421780Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8433039Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8443604Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.8459093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.8474005Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8480094Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8481700Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8482663Z    94 |     struct array
2025-06-05T23:20:14.8483066Z       |            ^~~~~
2025-06-05T23:20:14.8483864Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:14.8485087Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:14.8486239Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:14.8487439Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.8488775Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.8490088Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.8491147Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8493357Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:14.8494949Z   384 |   unsigned short x;
2025-06-05T23:20:14.8495398Z       |                  ^
2025-06-05T23:20:14.8495878Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.8496494Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.8497170Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.8497829Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.8498695Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.8499866Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.8500935Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8508973Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.8523473Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8538247Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8551933Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.8565817Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.8580336Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8587331Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8589039Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8589995Z    94 |     struct array
2025-06-05T23:20:14.8590389Z       |            ^~~~~
2025-06-05T23:20:14.8591863Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.8593229Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8593931Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8602262Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8617752Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8634126Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8648831Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.8661715Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.8670520Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8674196Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8675207Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8676049Z    94 |     struct array
2025-06-05T23:20:14.8676443Z       |            ^~~~~
2025-06-05T23:20:14.8677880Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.8679253Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8679941Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8687885Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.8701975Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8714857Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8723222Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.8737132Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.8751610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8758823Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8760580Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8761585Z    94 |     struct array
2025-06-05T23:20:14.8762007Z       |            ^~~~~
2025-06-05T23:20:14.8762815Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:14.8764151Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:14.8765364Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.8766746Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.8768069Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.8769164Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8771476Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:14.8773033Z    84 |   uint16_t x;
2025-06-05T23:20:14.8773395Z       |            ^
2025-06-05T23:20:14.8773846Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.8774485Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.8775185Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.8775876Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.8776790Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.8777967Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.8778962Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8787360Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8799977Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8810171Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8822265Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.8835180Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.8849136Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8856233Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:55:5:   required from here
2025-06-05T23:20:14.8857945Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8858990Z    94 |     struct array
2025-06-05T23:20:14.8859407Z       |            ^~~~~
2025-06-05T23:20:14.8860234Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:14.8861369Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:14.8862552Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.8864084Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.8865423Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.8866547Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8868889Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:14.8870492Z    84 |   uint16_t x;
2025-06-05T23:20:14.8870890Z       |            ^
2025-06-05T23:20:14.8871342Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.8871958Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.8872639Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.8873277Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.8874149Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.8875518Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.8876371Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.8880887Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.8893477Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8906326Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.8920855Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.8935477Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.8950651Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.8958122Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.8959936Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.8961056Z    94 |     struct array
2025-06-05T23:20:14.8961477Z       |            ^~~~~
2025-06-05T23:20:14.8963206Z /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]’
2025-06-05T23:20:14.8964734Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.8965457Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.8973700Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.8982662Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8991952Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.8999913Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9008338Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9016325Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9016898Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9017909Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9018064Z    94 |     struct array
2025-06-05T23:20:14.9018206Z       |            ^~~~~
2025-06-05T23:20:14.9019649Z /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]’
2025-06-05T23:20:14.9019965Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9020159Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9028333Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9036837Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9045183Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9052119Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9060663Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9068731Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9069277Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9070274Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9070442Z    94 |     struct array
2025-06-05T23:20:14.9070588Z       |            ^~~~~
2025-06-05T23:20:14.9071987Z /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]’
2025-06-05T23:20:14.9072342Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9072547Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9080747Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9090002Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9098968Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9106782Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9115247Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9123115Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9123673Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9124934Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9125089Z    94 |     struct array
2025-06-05T23:20:14.9125245Z       |            ^~~~~
2025-06-05T23:20:14.9126653Z /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]’
2025-06-05T23:20:14.9126969Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9127175Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9134858Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9143306Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9151644Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9158952Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9167495Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9175499Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9176040Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9176970Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9177140Z    94 |     struct array
2025-06-05T23:20:14.9177286Z       |            ^~~~~
2025-06-05T23:20:14.9178640Z /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]’
2025-06-05T23:20:14.9178972Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9179163Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9187470Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9197039Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9205732Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9213491Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9221613Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9229650Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9230287Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9231262Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9231407Z    94 |     struct array
2025-06-05T23:20:14.9231556Z       |            ^~~~~
2025-06-05T23:20:14.9232888Z /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]’
2025-06-05T23:20:14.9233216Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9233408Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9240533Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9248682Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9256843Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9264281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9272558Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9280347Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9280900Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9281833Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9282010Z    94 |     struct array
2025-06-05T23:20:14.9282168Z       |            ^~~~~
2025-06-05T23:20:14.9283368Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.9283693Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9283882Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9291830Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9300474Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9309171Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9316842Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9325163Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9332306Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9332841Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9333686Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9333823Z    94 |     struct array
2025-06-05T23:20:14.9333950Z       |            ^~~~~
2025-06-05T23:20:14.9335255Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:14.9335535Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9335712Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9342931Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9351159Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9358981Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9365815Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9373899Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9381546Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9382111Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9383093Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9383269Z    94 |     struct array
2025-06-05T23:20:14.9383409Z       |            ^~~~~
2025-06-05T23:20:14.9384617Z /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]’
2025-06-05T23:20:14.9384929Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9385122Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9393517Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9402320Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9410635Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9418417Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9426521Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9434321Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9434906Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9435851Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9436007Z    94 |     struct array
2025-06-05T23:20:14.9436183Z       |            ^~~~~
2025-06-05T23:20:14.9437414Z /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]’
2025-06-05T23:20:14.9437717Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9437920Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9445089Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9452723Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9460516Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9467655Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9475356Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9483218Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9483974Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9485089Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9485300Z    94 |     struct array
2025-06-05T23:20:14.9485517Z       |            ^~~~~
2025-06-05T23:20:14.9486759Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:14.9487090Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9487342Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9495304Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9503839Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9512718Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9520177Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9528468Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9536250Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9536838Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9537910Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9538091Z    94 |     struct array
2025-06-05T23:20:14.9538275Z       |            ^~~~~
2025-06-05T23:20:14.9539723Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:14.9540116Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9540345Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9548440Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9556906Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9565492Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9572950Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9581641Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9589774Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9590426Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9591406Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9591690Z    94 |     struct array
2025-06-05T23:20:14.9591944Z       |            ^~~~~
2025-06-05T23:20:14.9593293Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:14.9593643Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9593954Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9602299Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9611376Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9620568Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9628446Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9636947Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9645053Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9645664Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9646733Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9647052Z    94 |     struct array
2025-06-05T23:20:14.9647330Z       |            ^~~~~
2025-06-05T23:20:14.9648614Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:14.9649054Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9649313Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9657139Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9665936Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9674289Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9681884Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9690425Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9698373Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9699027Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9700037Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9700352Z    94 |     struct array
2025-06-05T23:20:14.9700566Z       |            ^~~~~
2025-06-05T23:20:14.9701232Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:14.9701831Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:14.9702414Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:14.9703034Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.9703693Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.9704411Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.9704801Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9706588Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:14.9706862Z   384 |   unsigned short x;
2025-06-05T23:20:14.9707046Z       |                  ^
2025-06-05T23:20:14.9707302Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.9707779Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.9708117Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.9708373Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.9708967Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.9709566Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.9710140Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9718593Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9727723Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9736052Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9743894Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9752746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9760755Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9761299Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9762312Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9762590Z    94 |     struct array
2025-06-05T23:20:14.9762746Z       |            ^~~~~
2025-06-05T23:20:14.9763460Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:14.9764254Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:14.9764675Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:14.9765171Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.9765777Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.9766227Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.9766685Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9768288Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:14.9768472Z   384 |   unsigned short x;
2025-06-05T23:20:14.9768629Z       |                  ^
2025-06-05T23:20:14.9768874Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.9769117Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.9769448Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.9769678Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.9770163Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.9770660Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.9771371Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9779098Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9787778Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9795949Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9803157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9811629Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9819050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9819876Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9820879Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9821131Z    94 |     struct array
2025-06-05T23:20:14.9821311Z       |            ^~~~~
2025-06-05T23:20:14.9822595Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.9823096Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9823354Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9831633Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9840977Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9850146Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9858305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9866572Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9874725Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9875399Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9876692Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9876872Z    94 |     struct array
2025-06-05T23:20:14.9877144Z       |            ^~~~~
2025-06-05T23:20:14.9878494Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:14.9878844Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:14.9879071Z       |                                                        ^~~~~~~~
2025-06-05T23:20:14.9886858Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:14.9895507Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9903878Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:14.9911348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:14.9919652Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:14.9927619Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9928314Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9929342Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9929656Z    94 |     struct array
2025-06-05T23:20:14.9929837Z       |            ^~~~~
2025-06-05T23:20:14.9930502Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:14.9931043Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:14.9931722Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:14.9932402Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:14.9933074Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:14.9933476Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9935230Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:14.9935445Z    84 |   uint16_t x;
2025-06-05T23:20:14.9935673Z       |            ^
2025-06-05T23:20:14.9935971Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:14.9936264Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:14.9936575Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:14.9936825Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:14.9937353Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:14.9938191Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:11,
2025-06-05T23:20:14.9938626Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:14.9946968Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:14.9956089Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9965238Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:14.9973424Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:14.9981947Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:14.9990037Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:14.9990691Z /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:97:5:   required from here
2025-06-05T23:20:14.9991731Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:14.9992045Z    94 |     struct array
2025-06-05T23:20:15.0053390Z       |            ^~~~~
2025-06-05T23:20:15.0054149Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.0054606Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.0055109Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:15.0055729Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:15.0056262Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_util.h:12,
2025-06-05T23:20:15.0056672Z                  from /pytorch/executorch/kernels/portable/cpu/op_copy.cpp:11:
2025-06-05T23:20:15.0058581Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.0058738Z    84 |   uint16_t x;
2025-06-05T23:20:15.0058870Z       |            ^
2025-06-05T23:20:15.0059668Z [ 55%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_eq.cpp.o
2025-06-05T23:20:15.0060504Z [ 55%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_empty.cpp.o
2025-06-05T23:20:15.0061251Z [ 56%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_exp.cpp.o
2025-06-05T23:20:15.0062006Z [ 56%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_erf.cpp.o
2025-06-05T23:20:15.0062847Z [ 56%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_expand_copy.cpp.o
2025-06-05T23:20:15.0063286Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.0063588Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.0064056Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.0064250Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.0064727Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.0065085Z                  from /pytorch/executorch/kernels/portable/cpu/op_div.cpp:9:
2025-06-05T23:20:15.0073024Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0082043Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0090737Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0098707Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0107816Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0116050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0116605Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:20:15.0117524Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0117679Z    94 |     struct array
2025-06-05T23:20:15.0117814Z       |            ^~~~~
2025-06-05T23:20:15.0119103Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.0119428Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0119622Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0128547Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0138129Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0147375Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0155748Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0164685Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0173841Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0174380Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:20:15.0175300Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0175432Z    94 |     struct array
2025-06-05T23:20:15.0175558Z       |            ^~~~~
2025-06-05T23:20:15.0176828Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.0177142Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0177342Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0183775Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0190775Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0198897Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0205684Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0214100Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0222314Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0222874Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:20:15.0224046Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0224214Z    94 |     struct array
2025-06-05T23:20:15.0224353Z       |            ^~~~~
2025-06-05T23:20:15.0225634Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.0225961Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0226127Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0234606Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0243894Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0253018Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0261556Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0270622Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0279146Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0279699Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:60:3:   required from here
2025-06-05T23:20:15.0280596Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0280764Z    94 |     struct array
2025-06-05T23:20:15.0280917Z       |            ^~~~~
2025-06-05T23:20:15.0282190Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.0282504Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0282697Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0291830Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0301682Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0311292Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0319867Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0329528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0339501Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0340047Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0341124Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0341291Z    94 |     struct array
2025-06-05T23:20:15.0341455Z       |            ^~~~~
2025-06-05T23:20:15.0342931Z /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]’
2025-06-05T23:20:15.0343229Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0343438Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0353083Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0363512Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0374268Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0383616Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0393625Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0402846Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0403420Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0404413Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0404569Z    94 |     struct array
2025-06-05T23:20:15.0404719Z       |            ^~~~~
2025-06-05T23:20:15.0406167Z /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]’
2025-06-05T23:20:15.0406478Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0406688Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0415580Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0425311Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0434988Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0443406Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0452781Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0461846Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0462483Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0463469Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0463622Z    94 |     struct array
2025-06-05T23:20:15.0463930Z       |            ^~~~~
2025-06-05T23:20:15.0465368Z /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]’
2025-06-05T23:20:15.0465684Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0465874Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0475640Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0485860Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0494596Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0503679Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0513296Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0522370Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0522927Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0523891Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0524046Z    94 |     struct array
2025-06-05T23:20:15.0524187Z       |            ^~~~~
2025-06-05T23:20:15.0525594Z /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]’
2025-06-05T23:20:15.0526143Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0526330Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0535113Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0544538Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0553935Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0562651Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0572355Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0581412Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0589104Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0590695Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0591586Z    94 |     struct array
2025-06-05T23:20:15.0591972Z       |            ^~~~~
2025-06-05T23:20:15.0593486Z /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]’
2025-06-05T23:20:15.0594897Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0595471Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0605002Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0623767Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0642869Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0660230Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0677708Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0695155Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0703295Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0704974Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0706052Z    94 |     struct array
2025-06-05T23:20:15.0706489Z       |            ^~~~~
2025-06-05T23:20:15.0708185Z /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]’
2025-06-05T23:20:15.0709717Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0710430Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0719524Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0736713Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0754037Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0770668Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.0786914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.0804287Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0812414Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0814045Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0815033Z    94 |     struct array
2025-06-05T23:20:15.0815456Z       |            ^~~~~
2025-06-05T23:20:15.0816985Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.0818406Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0819091Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0828921Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.0846149Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0861703Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.0878982Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.0895703Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.0912741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.0921146Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.0922812Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.0923787Z    94 |     struct array
2025-06-05T23:20:15.0924202Z       |            ^~~~~
2025-06-05T23:20:15.0925677Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.0927041Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.0927750Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.0936903Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.0954105Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0970758Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.0987745Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.1004572Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.1021382Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1029468Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1031183Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1032192Z    94 |     struct array
2025-06-05T23:20:15.1032611Z       |            ^~~~~
2025-06-05T23:20:15.1034194Z /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]’
2025-06-05T23:20:15.1035637Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1036348Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1046252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1064888Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1083781Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1100778Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.1117960Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.1135207Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1143472Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1145125Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1146132Z    94 |     struct array
2025-06-05T23:20:15.1146551Z       |            ^~~~~
2025-06-05T23:20:15.1148214Z /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]’
2025-06-05T23:20:15.1149703Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1150373Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1158796Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.1176714Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1193548Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1208880Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.1225215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.1242248Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1250234Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1251893Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1252814Z    94 |     struct array
2025-06-05T23:20:15.1253211Z       |            ^~~~~
2025-06-05T23:20:15.1254695Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.1255951Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1256621Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1266542Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1284900Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1302249Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1316936Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.1332715Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.1348977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1356940Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1358537Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1359479Z    94 |     struct array
2025-06-05T23:20:15.1359886Z       |            ^~~~~
2025-06-05T23:20:15.1361331Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.1362711Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1363445Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1372047Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.1388646Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1405918Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1422004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.1438108Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.1455094Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1463038Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1464851Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1465861Z    94 |     struct array
2025-06-05T23:20:15.1466300Z       |            ^~~~~
2025-06-05T23:20:15.1467861Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.1469625Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1470364Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1479545Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1497741Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1516735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1535051Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.1551530Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.1568881Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.1577026Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:124:3:   required from here
2025-06-05T23:20:15.1578766Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.1579875Z    94 |     struct array
2025-06-05T23:20:15.1580314Z       |            ^~~~~
2025-06-05T23:20:15.1581957Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.1583421Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1584119Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1592131Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.1606539Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1620910Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1634469Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.1648236Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.1662607Z /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)>]’
2025-06-05T23:20:15.1670003Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:20:15.1671680Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.1672717Z    94 |     struct array
2025-06-05T23:20:15.1673162Z       |            ^~~~~
2025-06-05T23:20:15.1674709Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.1676123Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1676824Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1685093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1700449Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1716744Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1731427Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.1745542Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.1760175Z /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)>]’
2025-06-05T23:20:15.1766827Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:20:15.1768509Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.1769447Z    94 |     struct array
2025-06-05T23:20:15.1769849Z       |            ^~~~~
2025-06-05T23:20:15.1771393Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.1772853Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1773576Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1781568Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.1796046Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1810943Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.1824298Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.1838204Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.1852906Z /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)>]’
2025-06-05T23:20:15.1860005Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:20:15.1861709Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.1862734Z    94 |     struct array
2025-06-05T23:20:15.1863161Z       |            ^~~~~
2025-06-05T23:20:15.1864871Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.1866361Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1867086Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1875419Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1890839Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1906869Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.1921750Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.1936224Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.1950829Z /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)>]’
2025-06-05T23:20:15.1957856Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:192:3:   required from here
2025-06-05T23:20:15.1959542Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.1960561Z    94 |     struct array
2025-06-05T23:20:15.1960985Z       |            ^~~~~
2025-06-05T23:20:15.1962511Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.1964139Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.1964861Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.1973894Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.1990528Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2007810Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2023851Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2038327Z /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>}]’
2025-06-05T23:20:15.2052205Z /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)>]’
2025-06-05T23:20:15.2059019Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2060798Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2061862Z    94 |     struct array
2025-06-05T23:20:15.2062285Z       |            ^~~~~
2025-06-05T23:20:15.2064133Z /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]’
2025-06-05T23:20:15.2065699Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2066413Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2075563Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2092123Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2109170Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2125223Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2139117Z /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>}]’
2025-06-05T23:20:15.2153119Z /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)>]’
2025-06-05T23:20:15.2159915Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2161661Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2162735Z    94 |     struct array
2025-06-05T23:20:15.2163164Z       |            ^~~~~
2025-06-05T23:20:15.2164896Z /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]’
2025-06-05T23:20:15.2166447Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2167180Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2176031Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2192449Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2209643Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2225630Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2239984Z /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>}]’
2025-06-05T23:20:15.2253821Z /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)>]’
2025-06-05T23:20:15.2260648Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2262320Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2263378Z    94 |     struct array
2025-06-05T23:20:15.2263929Z       |            ^~~~~
2025-06-05T23:20:15.2265255Z /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]’
2025-06-05T23:20:15.2266488Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2267393Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2276152Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2292476Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2308780Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2324558Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2338965Z /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>}]’
2025-06-05T23:20:15.2352725Z /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)>]’
2025-06-05T23:20:15.2359483Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2361164Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2362152Z    94 |     struct array
2025-06-05T23:20:15.2362572Z       |            ^~~~~
2025-06-05T23:20:15.2364233Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:15.2365649Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2366352Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2375186Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2391705Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2409000Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2423362Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2437640Z /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>}]’
2025-06-05T23:20:15.2451369Z /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)>]’
2025-06-05T23:20:15.2458261Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2459953Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2460943Z    94 |     struct array
2025-06-05T23:20:15.2461360Z       |            ^~~~~
2025-06-05T23:20:15.2462962Z /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]’
2025-06-05T23:20:15.2464653Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2465363Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2474209Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2490517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2507414Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2523480Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2537577Z /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>}]’
2025-06-05T23:20:15.2551131Z /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)>]’
2025-06-05T23:20:15.2557837Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2559516Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2560517Z    94 |     struct array
2025-06-05T23:20:15.2560940Z       |            ^~~~~
2025-06-05T23:20:15.2562449Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.2564043Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2564774Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2573723Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2590143Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2606981Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2621746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2635475Z /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>}]’
2025-06-05T23:20:15.2649936Z /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)>]’
2025-06-05T23:20:15.2654314Z /pytorch/executorch/kernels/portable/cpu/op_div.cpp:260:3:   required from here
2025-06-05T23:20:15.2655237Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2655790Z    94 |     struct array
2025-06-05T23:20:15.2656036Z       |            ^~~~~
2025-06-05T23:20:15.2656840Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.2657608Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2657989Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2658350Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.2658700Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.2659089Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.2659478Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.2659959Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.2660663Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.2666567Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.2676441Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.2685365Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.2693437Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.2702584Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.2711606Z /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)>]’
2025-06-05T23:20:15.2715844Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.2716973Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2717625Z    94 |     struct array
2025-06-05T23:20:15.2717861Z       |            ^~~~~
2025-06-05T23:20:15.2718740Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.2719620Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2720005Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2724901Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2733716Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2744150Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2754064Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2763965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.2775991Z /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)>]’
2025-06-05T23:20:15.2781466Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.2782768Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2783520Z    94 |     struct array
2025-06-05T23:20:15.2783839Z       |            ^~~~~
2025-06-05T23:20:15.2785195Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.2786439Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2787104Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2792989Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.2801806Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.2810635Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.2819465Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.2831010Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.2845795Z /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)>]’
2025-06-05T23:20:15.2852678Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.2853851Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2854469Z    94 |     struct array
2025-06-05T23:20:15.2854713Z       |            ^~~~~
2025-06-05T23:20:15.2855557Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.2856849Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2857460Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2866074Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.2882735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2900340Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.2916705Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.2932304Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.2947829Z /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)>]’
2025-06-05T23:20:15.2953402Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.2954707Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.2955691Z    94 |     struct array
2025-06-05T23:20:15.2956026Z       |            ^~~~~
2025-06-05T23:20:15.2957217Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.2958343Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.2958913Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.2966126Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.2981625Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.2997505Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3012907Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3028617Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3044759Z /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)>]’
2025-06-05T23:20:15.3052454Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.3054183Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.3055231Z    94 |     struct array
2025-06-05T23:20:15.3055638Z       |            ^~~~~
2025-06-05T23:20:15.3056477Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.3057809Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.3059057Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.3060274Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:15.3061494Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:15.3062554Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3065049Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.3066713Z   384 |   unsigned short x;
2025-06-05T23:20:15.3067149Z       |                  ^
2025-06-05T23:20:15.3067737Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.3068302Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.3068856Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.3069615Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.3070577Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.3071578Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3080712Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.3097426Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3113383Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3128687Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.3143378Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.3158325Z /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)>]’
2025-06-05T23:20:15.3165432Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.3167001Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.3167927Z    94 |     struct array
2025-06-05T23:20:15.3168290Z       |            ^~~~~
2025-06-05T23:20:15.3169108Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.3170288Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.3171411Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.3172516Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:15.3173545Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:15.3174468Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3176639Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.3178304Z   384 |   unsigned short x;
2025-06-05T23:20:15.3178719Z       |                  ^
2025-06-05T23:20:15.3179174Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.3179819Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.3180453Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.3181180Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.3182442Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.3183620Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3192115Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.3207928Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3224202Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3239701Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3255256Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3271420Z /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)>]’
2025-06-05T23:20:15.3278998Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.3280719Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.3281799Z    94 |     struct array
2025-06-05T23:20:15.3282195Z       |            ^~~~~
2025-06-05T23:20:15.3283062Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.3284364Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.3285566Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:15.3286799Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:15.3287869Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3290180Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.3291754Z    84 |   uint16_t x;
2025-06-05T23:20:15.3292156Z       |            ^
2025-06-05T23:20:15.3292609Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.3293267Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.3293980Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.3294686Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.3295591Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.3296637Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3306158Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.3323042Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3340747Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3357762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.3373540Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.3389349Z /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)>]’
2025-06-05T23:20:15.3399494Z /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:37:3:   required from here
2025-06-05T23:20:15.3401282Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.3402289Z    94 |     struct array
2025-06-05T23:20:15.3402705Z       |            ^~~~~
2025-06-05T23:20:15.3403563Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.3404835Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.3406048Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/selective_build.h:11,
2025-06-05T23:20:15.3407269Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2025-06-05T23:20:15.3408359Z                  from /pytorch/executorch/kernels/portable/cpu/op_elu.cpp:12:
2025-06-05T23:20:15.3410654Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.3412212Z    84 |   uint16_t x;
2025-06-05T23:20:15.3412590Z       |            ^
2025-06-05T23:20:15.3413676Z [ 56%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_expm1.cpp.o
2025-06-05T23:20:15.3415328Z [ 56%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_fill.cpp.o
2025-06-05T23:20:15.3417013Z [ 57%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_flip.cpp.o
2025-06-05T23:20:15.3418690Z [ 57%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_floor.cpp.o
2025-06-05T23:20:15.3420454Z [ 57%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_floor_divide.cpp.o
2025-06-05T23:20:15.3422094Z [ 58%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_fmod.cpp.o
2025-06-05T23:20:15.3423085Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.3423924Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.3424737Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.3425424Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.3426303Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.3427662Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:15.3428817Z                  from /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:9:
2025-06-05T23:20:15.3435993Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.3448918Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3462076Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3474347Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3486700Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3499543Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3509274Z /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)]’
2025-06-05T23:20:15.3513299Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3515013Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3516152Z    94 |     struct array
2025-06-05T23:20:15.3516588Z       |            ^~~~~
2025-06-05T23:20:15.3518355Z /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]’
2025-06-05T23:20:15.3519972Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3520708Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3528210Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.3541474Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3555715Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3568371Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.3580926Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.3593717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3603472Z /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)]’
2025-06-05T23:20:15.3607517Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3609235Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3610517Z    94 |     struct array
2025-06-05T23:20:15.3611037Z       |            ^~~~~
2025-06-05T23:20:15.3612741Z /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]’
2025-06-05T23:20:15.3614310Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3615042Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3621753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.3634690Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3647748Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3659488Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3671967Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3684534Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3694166Z /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)]’
2025-06-05T23:20:15.3698149Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3699828Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3700890Z    94 |     struct array
2025-06-05T23:20:15.3701303Z       |            ^~~~~
2025-06-05T23:20:15.3702937Z /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]’
2025-06-05T23:20:15.3704504Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3705200Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3712706Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.3726328Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3740431Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3753326Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.3766102Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.3778615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3788194Z /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)]’
2025-06-05T23:20:15.3791618Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3793274Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3794317Z    94 |     struct array
2025-06-05T23:20:15.3794740Z       |            ^~~~~
2025-06-05T23:20:15.3796682Z /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]’
2025-06-05T23:20:15.3798163Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3798877Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3805592Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.3818016Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3831035Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3842749Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3854864Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3866826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3876577Z /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)]’
2025-06-05T23:20:15.3880578Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3882283Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3883345Z    94 |     struct array
2025-06-05T23:20:15.3883764Z       |            ^~~~~
2025-06-05T23:20:15.3885391Z /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]’
2025-06-05T23:20:15.3886915Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3887651Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3894891Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.3902931Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3910780Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.3917328Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.3924007Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.3930483Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3934613Z /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)]’
2025-06-05T23:20:15.3935143Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3936080Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3936249Z    94 |     struct array
2025-06-05T23:20:15.3936391Z       |            ^~~~~
2025-06-05T23:20:15.3937742Z /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]’
2025-06-05T23:20:15.3938068Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3938372Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3944666Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.3951777Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3958636Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.3964562Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.3971490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.3978078Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.3982364Z /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)]’
2025-06-05T23:20:15.3982850Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.3983746Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.3983899Z    94 |     struct array
2025-06-05T23:20:15.3984040Z       |            ^~~~~
2025-06-05T23:20:15.3985290Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.3985600Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.3985787Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.3992717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4000379Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4007460Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4013748Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4020702Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4027111Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4031243Z /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)]’
2025-06-05T23:20:15.4031761Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4032680Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4032847Z    94 |     struct array
2025-06-05T23:20:15.4032985Z       |            ^~~~~
2025-06-05T23:20:15.4034226Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.4034549Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4034732Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4041225Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4048328Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4055244Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4061090Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4068374Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4075092Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4079247Z /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)]’
2025-06-05T23:20:15.4079776Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4080711Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4080867Z    94 |     struct array
2025-06-05T23:20:15.4081003Z       |            ^~~~~
2025-06-05T23:20:15.4082290Z /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]’
2025-06-05T23:20:15.4082597Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4082780Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4089511Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4096406Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4103842Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4110473Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4117522Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4124041Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4128118Z /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)]’
2025-06-05T23:20:15.4128636Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4129567Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4129723Z    94 |     struct array
2025-06-05T23:20:15.4129863Z       |            ^~~~~
2025-06-05T23:20:15.4131217Z /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]’
2025-06-05T23:20:15.4131541Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4131730Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4137977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4145167Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4152042Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4157740Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4164923Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4171385Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4176158Z /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)]’
2025-06-05T23:20:15.4176810Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4177741Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4177896Z    94 |     struct array
2025-06-05T23:20:15.4178062Z       |            ^~~~~
2025-06-05T23:20:15.4179261Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.4179576Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4179777Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4186612Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4194393Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4201806Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4208254Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4215322Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4221821Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4225883Z /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)]’
2025-06-05T23:20:15.4226402Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4227319Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4227470Z    94 |     struct array
2025-06-05T23:20:15.4227710Z       |            ^~~~~
2025-06-05T23:20:15.4228964Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.4229292Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4229478Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4235741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4242950Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4249933Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4255739Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4262753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4269152Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4273198Z /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)]’
2025-06-05T23:20:15.4273736Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4274944Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4275098Z    94 |     struct array
2025-06-05T23:20:15.4275251Z       |            ^~~~~
2025-06-05T23:20:15.4276555Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.4276868Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4277068Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4283848Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4291493Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4298917Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4305290Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4312446Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4318895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4322935Z /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)]’
2025-06-05T23:20:15.4323434Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4324386Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4324539Z    94 |     struct array
2025-06-05T23:20:15.4324674Z       |            ^~~~~
2025-06-05T23:20:15.4325936Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.4326253Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4326440Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4332591Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4339649Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4346515Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4352290Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4359200Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4365662Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4369787Z /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)]’
2025-06-05T23:20:15.4370264Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4371171Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4371325Z    94 |     struct array
2025-06-05T23:20:15.4371476Z       |            ^~~~~
2025-06-05T23:20:15.4372711Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:15.4373317Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4373522Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4380258Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4388012Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4395349Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4401330Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4408252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4414165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:15.4418071Z /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)]’
2025-06-05T23:20:15.4418581Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:25:21:   required from here
2025-06-05T23:20:15.4419435Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.4419565Z    94 |     struct array
2025-06-05T23:20:15.4419684Z       |            ^~~~~
2025-06-05T23:20:15.4420803Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:15.4421129Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4421314Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4428940Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4437445Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4445968Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4453659Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4462017Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4470559Z /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)>]’
2025-06-05T23:20:15.4474553Z /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)]’
2025-06-05T23:20:15.4475055Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4476044Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4476192Z    94 |     struct array
2025-06-05T23:20:15.4476330Z       |            ^~~~~
2025-06-05T23:20:15.4477721Z /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]’
2025-06-05T23:20:15.4478041Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4478221Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4486558Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4495168Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4504305Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4512415Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4521115Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4529490Z /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)>]’
2025-06-05T23:20:15.4533657Z /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)]’
2025-06-05T23:20:15.4534185Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4535190Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4535359Z    94 |     struct array
2025-06-05T23:20:15.4535534Z       |            ^~~~~
2025-06-05T23:20:15.4536982Z /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]’
2025-06-05T23:20:15.4537301Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4537510Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4545608Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4554521Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4562880Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4570269Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4578334Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4585237Z /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)>]’
2025-06-05T23:20:15.4588814Z /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)]’
2025-06-05T23:20:15.4589283Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4590166Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4590486Z    94 |     struct array
2025-06-05T23:20:15.4590710Z       |            ^~~~~
2025-06-05T23:20:15.4592021Z /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]’
2025-06-05T23:20:15.4592293Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4592468Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4599829Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4609109Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4617866Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4625842Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4634123Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4641081Z /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)>]’
2025-06-05T23:20:15.4645169Z /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)]’
2025-06-05T23:20:15.4645679Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4646616Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4646790Z    94 |     struct array
2025-06-05T23:20:15.4646931Z       |            ^~~~~
2025-06-05T23:20:15.4648234Z /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]’
2025-06-05T23:20:15.4648557Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4648741Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4657110Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4666441Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4675240Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4682980Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4692156Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4700536Z /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)>]’
2025-06-05T23:20:15.4704747Z /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)]’
2025-06-05T23:20:15.4705284Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4706241Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4706394Z    94 |     struct array
2025-06-05T23:20:15.4706536Z       |            ^~~~~
2025-06-05T23:20:15.4730652Z /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]’
2025-06-05T23:20:15.4731064Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4731249Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4739814Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4748857Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4757640Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4765693Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4774502Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4782472Z /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)>]’
2025-06-05T23:20:15.4784691Z /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)]’
2025-06-05T23:20:15.4784976Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4785469Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4785559Z    94 |     struct array
2025-06-05T23:20:15.4785655Z       |            ^~~~~
2025-06-05T23:20:15.4786353Z /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]’
2025-06-05T23:20:15.4786527Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4786645Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4790846Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4795357Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4799840Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4803677Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4808104Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4812331Z /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)>]’
2025-06-05T23:20:15.4814450Z /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)]’
2025-06-05T23:20:15.4814780Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4815242Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4815329Z    94 |     struct array
2025-06-05T23:20:15.4815423Z       |            ^~~~~
2025-06-05T23:20:15.4816060Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:15.4816234Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4816358Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4820762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4825548Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4830364Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4834534Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4838956Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4843185Z /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)>]’
2025-06-05T23:20:15.4845389Z /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)]’
2025-06-05T23:20:15.4845659Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4846135Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4846236Z    94 |     struct array
2025-06-05T23:20:15.4846315Z       |            ^~~~~
2025-06-05T23:20:15.4846954Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:15.4847189Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4847453Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4851630Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4856135Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4860542Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4864581Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4869297Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4876405Z /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)>]’
2025-06-05T23:20:15.4879932Z /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)]’
2025-06-05T23:20:15.4880224Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4880745Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4880850Z    94 |     struct array
2025-06-05T23:20:15.4880933Z       |            ^~~~~
2025-06-05T23:20:15.4881617Z /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]’
2025-06-05T23:20:15.4881816Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4881934Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4886458Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4891395Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4896092Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4900242Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4904764Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4909143Z /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)>]’
2025-06-05T23:20:15.4911224Z /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)]’
2025-06-05T23:20:15.4911490Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4911988Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4912076Z    94 |     struct array
2025-06-05T23:20:15.4912164Z       |            ^~~~~
2025-06-05T23:20:15.4912853Z /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]’
2025-06-05T23:20:15.4913041Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4913150Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4917280Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4921811Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4926582Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4930902Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.4935423Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.4939724Z /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)>]’
2025-06-05T23:20:15.4941847Z /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)]’
2025-06-05T23:20:15.4942116Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4942602Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4942689Z    94 |     struct array
2025-06-05T23:20:15.4942770Z       |            ^~~~~
2025-06-05T23:20:15.4943456Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.4943631Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4943741Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4948762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.4954686Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4959914Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.4965887Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.4972165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.4976468Z /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)>]’
2025-06-05T23:20:15.4978536Z /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)]’
2025-06-05T23:20:15.4978817Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.4979437Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.4979608Z    94 |     struct array
2025-06-05T23:20:15.4979692Z       |            ^~~~~
2025-06-05T23:20:15.4980367Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.4980542Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.4980652Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.4984802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.4989433Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4993842Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.4997754Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5002254Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5006498Z /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)>]’
2025-06-05T23:20:15.5008564Z /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)]’
2025-06-05T23:20:15.5008844Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.5009321Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5009420Z    94 |     struct array
2025-06-05T23:20:15.5009513Z       |            ^~~~~
2025-06-05T23:20:15.5010177Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.5010350Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5010474Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5014967Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5019818Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5024513Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5029421Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5035760Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5043497Z /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)>]’
2025-06-05T23:20:15.5047577Z /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)]’
2025-06-05T23:20:15.5048124Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.5049047Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5049224Z    94 |     struct array
2025-06-05T23:20:15.5049371Z       |            ^~~~~
2025-06-05T23:20:15.5050625Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.5050938Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5051135Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5058801Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5068067Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5076824Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5084244Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5092472Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5100461Z /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)>]’
2025-06-05T23:20:15.5103188Z /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)]’
2025-06-05T23:20:15.5103474Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.5103978Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5104082Z    94 |     struct array
2025-06-05T23:20:15.5104162Z       |            ^~~~~
2025-06-05T23:20:15.5104812Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:15.5104998Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5105105Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5109595Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5114391Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5120323Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5128005Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5141808Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5150085Z /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)>]’
2025-06-05T23:20:15.5155705Z /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)]’
2025-06-05T23:20:15.5156272Z /pytorch/executorch/kernels/portable/cpu/op_eq.cpp:36:21:   required from here
2025-06-05T23:20:15.5157159Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5157313Z    94 |     struct array
2025-06-05T23:20:15.5157460Z       |            ^~~~~
2025-06-05T23:20:15.5158698Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:15.5159012Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5159209Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5160048Z [ 58%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_full_like.cpp.o
2025-06-05T23:20:15.5160854Z [ 58%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_full.cpp.o
2025-06-05T23:20:15.5161661Z [ 59%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_gather.cpp.o
2025-06-05T23:20:15.5162454Z [ 59%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_ge.cpp.o
2025-06-05T23:20:15.5163244Z [ 59%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_gelu.cpp.o
2025-06-05T23:20:15.5163474Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.5163896Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.5164178Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.5164550Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.5165020Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:15.5165399Z                  from /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:11:
2025-06-05T23:20:15.5171315Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5178521Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5187520Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5195746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5205162Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5214050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5214685Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:20:15.5215643Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5215806Z    94 |     struct array
2025-06-05T23:20:15.5215957Z       |            ^~~~~
2025-06-05T23:20:15.5217242Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.5217573Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5217773Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5227083Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5237541Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5247646Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5256496Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5265741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5274567Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5275122Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:20:15.5276016Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5276172Z    94 |     struct array
2025-06-05T23:20:15.5276313Z       |            ^~~~~
2025-06-05T23:20:15.5277605Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.5277898Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5278086Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5286830Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5296155Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5305294Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5313383Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5322694Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5331388Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5332031Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:20:15.5333002Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5333183Z    94 |     struct array
2025-06-05T23:20:15.5333325Z       |            ^~~~~
2025-06-05T23:20:15.5334618Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.5334952Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5335142Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5344171Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5354265Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5364412Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5373474Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5382613Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5391572Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5392173Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:57:3:   required from here
2025-06-05T23:20:15.5393122Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5393299Z    94 |     struct array
2025-06-05T23:20:15.5393444Z       |            ^~~~~
2025-06-05T23:20:15.5394719Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.5395053Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5395244Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5402622Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5410789Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5418973Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5425818Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5433942Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5441726Z /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)>]’
2025-06-05T23:20:15.5442269Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:20:15.5443213Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5443383Z    94 |     struct array
2025-06-05T23:20:15.5443514Z       |            ^~~~~
2025-06-05T23:20:15.5444807Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.5445121Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5445294Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5453196Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5462156Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5470297Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5477950Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5486015Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5493718Z /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)>]’
2025-06-05T23:20:15.5494299Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:20:15.5495211Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5495365Z    94 |     struct array
2025-06-05T23:20:15.5495513Z       |            ^~~~~
2025-06-05T23:20:15.5496722Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:15.5497038Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5497236Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5504649Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5513008Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5521222Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5528157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5536213Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5543772Z /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)>]’
2025-06-05T23:20:15.5544338Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:20:15.5545289Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5545438Z    94 |     struct array
2025-06-05T23:20:15.5545576Z       |            ^~~~~
2025-06-05T23:20:15.5546846Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.5547170Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5547354Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5555479Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5564381Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5573020Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5580593Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5588931Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5603674Z /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)>]’
2025-06-05T23:20:15.5610899Z /pytorch/executorch/kernels/portable/cpu/op_fmod.cpp:135:3:   required from here
2025-06-05T23:20:15.5612644Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:15.5613713Z    94 |     struct array
2025-06-05T23:20:15.5614130Z       |            ^~~~~
2025-06-05T23:20:15.5615723Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:15.5617328Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5618058Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5619274Z [ 60%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_glu.cpp.o
2025-06-05T23:20:15.5620918Z [ 60%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_gt.cpp.o
2025-06-05T23:20:15.5622044Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.5622693Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.5623405Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.5624129Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.5625019Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.5626336Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:15.5627504Z                  from /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:9:
2025-06-05T23:20:15.5637001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5654063Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5671774Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5687997Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5704490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5721671Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5729706Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.5731514Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5732586Z    94 |     struct array
2025-06-05T23:20:15.5732998Z       |            ^~~~~
2025-06-05T23:20:15.5734707Z /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]’
2025-06-05T23:20:15.5736320Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5737000Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5746540Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5764771Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5782987Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5800348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.5817291Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.5834430Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5842429Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.5843729Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5844312Z    94 |     struct array
2025-06-05T23:20:15.5844543Z       |            ^~~~~
2025-06-05T23:20:15.5845434Z /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]’
2025-06-05T23:20:15.5846253Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5846654Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5851336Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.5864209Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5880701Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.5896743Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.5911722Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.5927437Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.5935603Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.5937416Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.5938471Z    94 |     struct array
2025-06-05T23:20:15.5938890Z       |            ^~~~~
2025-06-05T23:20:15.5940556Z /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]’
2025-06-05T23:20:15.5942135Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.5942868Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.5952794Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.5971587Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.5990168Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6007390Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.6024413Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.6041470Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6049605Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6051402Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6052382Z    94 |     struct array
2025-06-05T23:20:15.6052794Z       |            ^~~~~
2025-06-05T23:20:15.6054463Z /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]’
2025-06-05T23:20:15.6056019Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6056750Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6066002Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.6082749Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6100067Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6116849Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.6133635Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.6150673Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6158536Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6160356Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6161405Z    94 |     struct array
2025-06-05T23:20:15.6161815Z       |            ^~~~~
2025-06-05T23:20:15.6163414Z /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]’
2025-06-05T23:20:15.6164868Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6165469Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6174918Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.6193066Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6211417Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6228600Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.6244913Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.6261765Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6270154Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6271954Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6273002Z    94 |     struct array
2025-06-05T23:20:15.6273409Z       |            ^~~~~
2025-06-05T23:20:15.6275000Z /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]’
2025-06-05T23:20:15.6276511Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6277195Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6285758Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.6302263Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6319984Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6335491Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.6351601Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.6368600Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6376663Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6378409Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6379420Z    94 |     struct array
2025-06-05T23:20:15.6379824Z       |            ^~~~~
2025-06-05T23:20:15.6381525Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.6382945Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6383660Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6393222Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.6411124Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6429572Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6446895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.6463582Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.6480082Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6487978Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6489679Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6490788Z    94 |     struct array
2025-06-05T23:20:15.6491217Z       |            ^~~~~
2025-06-05T23:20:15.6492735Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:15.6494191Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6494924Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6504182Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.6520903Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6538314Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6554649Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.6571158Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.6588332Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6596316Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6598048Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6599068Z    94 |     struct array
2025-06-05T23:20:15.6599491Z       |            ^~~~~
2025-06-05T23:20:15.6601076Z /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]’
2025-06-05T23:20:15.6602587Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6603301Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6612918Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.6631415Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6652989Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6669644Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.6685938Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.6703115Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6711140Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6712915Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6713956Z    94 |     struct array
2025-06-05T23:20:15.6714362Z       |            ^~~~~
2025-06-05T23:20:15.6715970Z /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]’
2025-06-05T23:20:15.6717463Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6718168Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6727269Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.6743979Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6761523Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6777570Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.6793791Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.6810765Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6818912Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6820636Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6821666Z    94 |     struct array
2025-06-05T23:20:15.6822079Z       |            ^~~~~
2025-06-05T23:20:15.6823638Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.6825099Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6825780Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6835577Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.6853614Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6871870Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.6888490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.6905066Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.6921914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.6929445Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.6931029Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.6931932Z    94 |     struct array
2025-06-05T23:20:15.6932280Z       |            ^~~~~
2025-06-05T23:20:15.6933709Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.6935002Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.6935661Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.6943916Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.6959812Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6977200Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.6992615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.7007691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.7023863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.7031580Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.7033298Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7034282Z    94 |     struct array
2025-06-05T23:20:15.7034711Z       |            ^~~~~
2025-06-05T23:20:15.7036340Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.7037737Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7038511Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7047745Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.7063206Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7079662Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7096187Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.7111924Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.7127867Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:15.7136072Z /pytorch/executorch/kernels/portable/cpu/op_floor_divide.cpp:55:3:   required from here
2025-06-05T23:20:15.7138190Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7139147Z    94 |     struct array
2025-06-05T23:20:15.7139564Z       |            ^~~~~
2025-06-05T23:20:15.7141231Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.7142834Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7143601Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7144976Z [ 60%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_hardtanh.cpp.o
2025-06-05T23:20:15.7146665Z [ 61%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_index.cpp.o
2025-06-05T23:20:15.7148519Z [ 61%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_index_select.cpp.o
2025-06-05T23:20:15.7150319Z [ 61%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_index_put.cpp.o
2025-06-05T23:20:15.7151950Z [ 62%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_isinf.cpp.o
2025-06-05T23:20:15.7153708Z [ 62%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_isnan.cpp.o
2025-06-05T23:20:15.7154831Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.7155494Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.7156236Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.7156921Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.7157820Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.7158912Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.7168696Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.7186579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7204684Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7221473Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.7238148Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.7256417Z /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::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:20:15.7268765Z /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]’
2025-06-05T23:20:15.7272248Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7273929Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7274959Z    94 |     struct array
2025-06-05T23:20:15.7275382Z       |            ^~~~~
2025-06-05T23:20:15.7276884Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.7278439Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7279170Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7289002Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.7307776Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7326602Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7345036Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.7362609Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.7381336Z /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::Tensor; int64_t = long int]::<lambda()>::<lambda()>::<lambda(auto:9, auto:10)>]’
2025-06-05T23:20:15.7393701Z /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]’
2025-06-05T23:20:15.7397167Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7398851Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7399835Z    94 |     struct array
2025-06-05T23:20:15.7400283Z       |            ^~~~~
2025-06-05T23:20:15.7401831Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.7403252Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7403972Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7413362Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.7431031Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7449273Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7466244Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.7482963Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.7501439Z /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)>]’
2025-06-05T23:20:15.7513925Z /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]’
2025-06-05T23:20:15.7517499Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7519202Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7520211Z    94 |     struct array
2025-06-05T23:20:15.7520629Z       |            ^~~~~
2025-06-05T23:20:15.7522194Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.7523634Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7524373Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7534373Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.7553122Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7572277Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7590247Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.7607684Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.7625978Z /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)>]’
2025-06-05T23:20:15.7638587Z /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]’
2025-06-05T23:20:15.7642111Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7643724Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7644714Z    94 |     struct array
2025-06-05T23:20:15.7645128Z       |            ^~~~~
2025-06-05T23:20:15.7646691Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.7648169Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.7648869Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.7658556Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.7675846Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7694244Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7711187Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.7728196Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.7746337Z /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)>]’
2025-06-05T23:20:15.7758717Z /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]’
2025-06-05T23:20:15.7762236Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7763989Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7764898Z    94 |     struct array
2025-06-05T23:20:15.7765245Z       |            ^~~~~
2025-06-05T23:20:15.7765983Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.7767045Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.7768108Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.7769262Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.7770562Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.7771716Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.7773859Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.7775307Z   384 |   unsigned short x;
2025-06-05T23:20:15.7775679Z       |                  ^
2025-06-05T23:20:15.7776137Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.7776749Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.7777467Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.7778290Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.7779183Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.7780267Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.7790416Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.7809113Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7828371Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.7845798Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.7863277Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.7881860Z /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)>]’
2025-06-05T23:20:15.7893682Z /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]’
2025-06-05T23:20:15.7896873Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.7898556Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.7899604Z    94 |     struct array
2025-06-05T23:20:15.7900012Z       |            ^~~~~
2025-06-05T23:20:15.7900849Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.7902291Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.7903533Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.7904692Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.7905973Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.7907165Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.7909599Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.7911208Z   384 |   unsigned short x;
2025-06-05T23:20:15.7911642Z       |                  ^
2025-06-05T23:20:15.7912158Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.7912826Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.7913539Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.7914264Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.7915156Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.7916236Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.7925993Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.7943965Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7962408Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.7979518Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.7995866Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.8013389Z /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)>]’
2025-06-05T23:20:15.8025644Z /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]’
2025-06-05T23:20:15.8029310Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8031042Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8032101Z    94 |     struct array
2025-06-05T23:20:15.8032549Z       |            ^~~~~
2025-06-05T23:20:15.8033422Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.8034724Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.8035880Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8037161Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8038339Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8040605Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.8042319Z    84 |   uint16_t x;
2025-06-05T23:20:15.8042708Z       |            ^
2025-06-05T23:20:15.8043185Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8043804Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8044466Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8045139Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8046011Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8047084Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.8057313Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.8076092Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8095298Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8113437Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.8131162Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.8149151Z /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)>]’
2025-06-05T23:20:15.8161434Z /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]’
2025-06-05T23:20:15.8165189Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8167013Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8168099Z    94 |     struct array
2025-06-05T23:20:15.8168514Z       |            ^~~~~
2025-06-05T23:20:15.8169397Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.8170697Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.8171876Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8173169Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8174335Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8176588Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.8178198Z    84 |   uint16_t x;
2025-06-05T23:20:15.8178696Z       |            ^
2025-06-05T23:20:15.8179160Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8179871Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8180591Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8181310Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8182209Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8183265Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.8192946Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.8210549Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8227523Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8244545Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.8261284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.8279730Z /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)>]’
2025-06-05T23:20:15.8292059Z /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]’
2025-06-05T23:20:15.8295463Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8297131Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8298141Z    94 |     struct array
2025-06-05T23:20:15.8298537Z       |            ^~~~~
2025-06-05T23:20:15.8299893Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.8301242Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.8302034Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.8311941Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:15.8330681Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.8349602Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.8367432Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.8385064Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.8403339Z /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)>]’
2025-06-05T23:20:15.8415618Z /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]’
2025-06-05T23:20:15.8419212Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8420721Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8421724Z    94 |     struct array
2025-06-05T23:20:15.8422129Z       |            ^~~~~
2025-06-05T23:20:15.8423676Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.8425108Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.8425818Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.8435358Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.8453082Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8471045Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8487844Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.8504473Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.8522796Z /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)>]’
2025-06-05T23:20:15.8535007Z /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]’
2025-06-05T23:20:15.8538443Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8539910Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8540846Z    94 |     struct array
2025-06-05T23:20:15.8541222Z       |            ^~~~~
2025-06-05T23:20:15.8542589Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.8544003Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.8544696Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.8554795Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.8572874Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8592275Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8610103Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.8627794Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.8646109Z /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)>]’
2025-06-05T23:20:15.8657511Z /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]’
2025-06-05T23:20:15.8660748Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8662351Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8663245Z    94 |     struct array
2025-06-05T23:20:15.8663632Z       |            ^~~~~
2025-06-05T23:20:15.8665803Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.8667414Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.8668324Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.8678242Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.8695601Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8712473Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8721208Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.8729709Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:20:15.8740297Z /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)>]’
2025-06-05T23:20:15.8747124Z /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]’
2025-06-05T23:20:15.8749027Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8749900Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8750450Z    94 |     struct array
2025-06-05T23:20:15.8750678Z       |            ^~~~~
2025-06-05T23:20:15.8751133Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.8751838Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.8752481Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.8753092Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8753753Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8754376Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8755569Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.8756412Z   384 |   unsigned short x;
2025-06-05T23:20:15.8756662Z       |                  ^
2025-06-05T23:20:15.8756938Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8757403Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8757840Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8758386Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8759102Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8759765Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.8765701Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.8775718Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8785894Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8797044Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.8807071Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:20:15.8820300Z /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)>]’
2025-06-05T23:20:15.8827473Z /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]’
2025-06-05T23:20:15.8829692Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8830720Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8831367Z    94 |     struct array
2025-06-05T23:20:15.8831641Z       |            ^~~~~
2025-06-05T23:20:15.8832317Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.8833189Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.8833972Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.8834746Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8835537Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8836234Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8837773Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.8838815Z   384 |   unsigned short x;
2025-06-05T23:20:15.8839303Z       |                  ^
2025-06-05T23:20:15.8839925Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8840579Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8841130Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8841666Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8842311Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8843149Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.8852279Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.8865490Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8883550Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.8900340Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.8910038Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.8919751Z /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)>]’
2025-06-05T23:20:15.8926180Z /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]’
2025-06-05T23:20:15.8928337Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8929366Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8930093Z    94 |     struct array
2025-06-05T23:20:15.8948506Z       |            ^~~~~
2025-06-05T23:20:15.8949024Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.8949732Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.8950353Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8951039Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8951650Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8953006Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.8953851Z    84 |   uint16_t x;
2025-06-05T23:20:15.8954067Z       |            ^
2025-06-05T23:20:15.8954342Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8954696Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8955242Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8955641Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8956134Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8956327Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.8961334Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:15.8966809Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8972517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.8979823Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.8987543Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.8993496Z /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)>]’
2025-06-05T23:20:15.8995371Z /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]’
2025-06-05T23:20:15.8995677Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.8996190Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.8996291Z    94 |     struct array
2025-06-05T23:20:15.8996370Z       |            ^~~~~
2025-06-05T23:20:15.8996687Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.8996968Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.8997227Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.8997537Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.8997728Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.8998614Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.8998699Z    84 |   uint16_t x;
2025-06-05T23:20:15.8998776Z       |            ^
2025-06-05T23:20:15.8998921Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.8999038Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.8999199Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.8999322Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.8999580Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.8999766Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9004357Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9009309Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9014166Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9019644Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9025489Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9033056Z /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)>]’
2025-06-05T23:20:15.9036405Z /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]’
2025-06-05T23:20:15.9036829Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9037426Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9037519Z    94 |     struct array
2025-06-05T23:20:15.9037621Z       |            ^~~~~
2025-06-05T23:20:15.9038364Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.9038541Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9038663Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9043984Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:15.9053060Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.9062683Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.9071653Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9081086Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9090746Z /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)>]’
2025-06-05T23:20:15.9094067Z /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]’
2025-06-05T23:20:15.9094688Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9095595Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9095754Z    94 |     struct array
2025-06-05T23:20:15.9095899Z       |            ^~~~~
2025-06-05T23:20:15.9097085Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.9097392Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9097579Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9105594Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9113285Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9120181Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9124601Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9130377Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9139473Z /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)>]’
2025-06-05T23:20:15.9142938Z /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]’
2025-06-05T23:20:15.9143477Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9144284Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9144499Z    94 |     struct array
2025-06-05T23:20:15.9144659Z       |            ^~~~~
2025-06-05T23:20:15.9145896Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.9146200Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9146384Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9155725Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:15.9162423Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.9171239Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:15.9179706Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9188936Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9197547Z /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)>]’
2025-06-05T23:20:15.9201252Z /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]’
2025-06-05T23:20:15.9201771Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9202725Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9202880Z    94 |     struct array
2025-06-05T23:20:15.9203019Z       |            ^~~~~
2025-06-05T23:20:15.9204334Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.9204670Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9204862Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9214041Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9223980Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9233719Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9242193Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9251912Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9261663Z /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)>]’
2025-06-05T23:20:15.9265061Z /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]’
2025-06-05T23:20:15.9265517Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9266408Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9266669Z    94 |     struct array
2025-06-05T23:20:15.9266825Z       |            ^~~~~
2025-06-05T23:20:15.9267401Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.9268004Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.9268479Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.9269038Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9269654Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9269991Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9271748Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.9271917Z   384 |   unsigned short x;
2025-06-05T23:20:15.9272062Z       |                  ^
2025-06-05T23:20:15.9272301Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9272505Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9272798Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9273013Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9273499Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9273939Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9283546Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9293549Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9303533Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9312541Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9321926Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9331741Z /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)>]’
2025-06-05T23:20:15.9335288Z /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]’
2025-06-05T23:20:15.9335826Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9336778Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9336943Z    94 |     struct array
2025-06-05T23:20:15.9337074Z       |            ^~~~~
2025-06-05T23:20:15.9337637Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.9338152Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.9338643Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.9339162Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9339806Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9340182Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9341897Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.9342059Z   384 |   unsigned short x;
2025-06-05T23:20:15.9342220Z       |                  ^
2025-06-05T23:20:15.9342459Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9342660Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9342962Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9343169Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9343630Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9343963Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9353103Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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 = long int; auto:4 = long int]’:
2025-06-05T23:20:15.9362936Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9372708Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9381430Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9391215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9401439Z /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)>]’
2025-06-05T23:20:15.9405275Z /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]’
2025-06-05T23:20:15.9405863Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9406857Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9407042Z    94 |     struct array
2025-06-05T23:20:15.9407191Z       |            ^~~~~
2025-06-05T23:20:15.9407832Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.9408347Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.9408840Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9409422Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9409814Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9411592Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.9411748Z    84 |   uint16_t x;
2025-06-05T23:20:15.9411896Z       |            ^
2025-06-05T23:20:15.9412158Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9412374Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9412654Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9412870Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9413374Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9413735Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9423390Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9433880Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9443933Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9452959Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9462693Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9472300Z /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)>]’
2025-06-05T23:20:15.9475925Z /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]’
2025-06-05T23:20:15.9476461Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9477446Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9477606Z    94 |     struct array
2025-06-05T23:20:15.9477747Z       |            ^~~~~
2025-06-05T23:20:15.9478369Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.9478858Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.9479317Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9479922Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9480295Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9481969Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.9482264Z    84 |   uint16_t x;
2025-06-05T23:20:15.9482397Z       |            ^
2025-06-05T23:20:15.9482646Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9482851Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9483141Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9483357Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9483834Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9484256Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9493232Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9503063Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9512646Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9521096Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9530880Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9540733Z /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)>]’
2025-06-05T23:20:15.9544332Z /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]’
2025-06-05T23:20:15.9544878Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9545796Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9545949Z    94 |     struct array
2025-06-05T23:20:15.9546103Z       |            ^~~~~
2025-06-05T23:20:15.9547344Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.9547741Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9547950Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9557647Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9568333Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9578160Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9587203Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9597379Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9607367Z /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)>]’
2025-06-05T23:20:15.9610898Z /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]’
2025-06-05T23:20:15.9611353Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9612228Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9612389Z    94 |     struct array
2025-06-05T23:20:15.9612519Z       |            ^~~~~
2025-06-05T23:20:15.9613778Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:15.9614092Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9614273Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9622921Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9632532Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9641927Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9650323Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9660006Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9670175Z /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)>]’
2025-06-05T23:20:15.9673873Z /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]’
2025-06-05T23:20:15.9674430Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9675361Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9675507Z    94 |     struct array
2025-06-05T23:20:15.9675664Z       |            ^~~~~
2025-06-05T23:20:15.9676954Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.9677264Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9677467Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9686873Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9697161Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9707424Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9716694Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9726495Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9736391Z /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)>]’
2025-06-05T23:20:15.9740053Z /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]’
2025-06-05T23:20:15.9740640Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9741571Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9741725Z    94 |     struct array
2025-06-05T23:20:15.9741862Z       |            ^~~~~
2025-06-05T23:20:15.9743086Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:15.9743406Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:15.9743598Z       |                                                        ^~~~~~~~
2025-06-05T23:20:15.9752646Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9762431Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9771795Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9780067Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9789748Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9799688Z /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)>]’
2025-06-05T23:20:15.9803258Z /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]’
2025-06-05T23:20:15.9803814Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9804705Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9804860Z    94 |     struct array
2025-06-05T23:20:15.9805080Z       |            ^~~~~
2025-06-05T23:20:15.9805659Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.9806191Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.9806670Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.9807128Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9807691Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9808076Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9809805Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.9809967Z   384 |   unsigned short x;
2025-06-05T23:20:15.9810120Z       |                  ^
2025-06-05T23:20:15.9810354Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9810562Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9810854Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9811069Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9811541Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9811952Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9821567Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9831840Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9841893Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9850812Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:15.9860561Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:15.9870885Z /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)>]’
2025-06-05T23:20:15.9874461Z /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]’
2025-06-05T23:20:15.9874976Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9875908Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9876072Z    94 |     struct array
2025-06-05T23:20:15.9876184Z       |            ^~~~~
2025-06-05T23:20:15.9876708Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:15.9877257Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:15.9877814Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:15.9878262Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9878882Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9879207Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9880943Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:15.9881119Z   384 |   unsigned short x;
2025-06-05T23:20:15.9881262Z       |                  ^
2025-06-05T23:20:15.9881500Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9881704Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9881996Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9882204Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9882777Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9883188Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9892318Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:15.9902118Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9911850Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:15.9920464Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:15.9930285Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:15.9940266Z /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)>]’
2025-06-05T23:20:15.9943831Z /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]’
2025-06-05T23:20:15.9944435Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:15.9945441Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:15.9945590Z    94 |     struct array
2025-06-05T23:20:15.9945731Z       |            ^~~~~
2025-06-05T23:20:15.9946334Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:15.9946813Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:15.9947280Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:15.9947970Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:15.9948443Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:15.9950093Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:15.9950244Z    84 |   uint16_t x;
2025-06-05T23:20:15.9950400Z       |            ^
2025-06-05T23:20:15.9950640Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:15.9950846Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:15.9951155Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:15.9951353Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:15.9951845Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:15.9952190Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:15.9961892Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:15.9972356Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9982566Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:15.9991847Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0001528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0011452Z /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)>]’
2025-06-05T23:20:16.0015035Z /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]’
2025-06-05T23:20:16.0015582Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0016592Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0016749Z    94 |     struct array
2025-06-05T23:20:16.0016885Z       |            ^~~~~
2025-06-05T23:20:16.0017483Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.0017961Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.0018431Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0019030Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0019400Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0021046Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.0021255Z    84 |   uint16_t x;
2025-06-05T23:20:16.0021410Z       |            ^
2025-06-05T23:20:16.0021639Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0021842Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0022153Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0022354Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0022846Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0023199Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0032315Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0041789Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0051262Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0059688Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0069063Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0078731Z /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)>]’
2025-06-05T23:20:16.0082264Z /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]’
2025-06-05T23:20:16.0082794Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0083730Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0083910Z    94 |     struct array
2025-06-05T23:20:16.0084054Z       |            ^~~~~
2025-06-05T23:20:16.0085386Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.0085708Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0085894Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0095257Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0105399Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0115333Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0124478Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0134029Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0144025Z /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)>]’
2025-06-05T23:20:16.0147684Z /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]’
2025-06-05T23:20:16.0148231Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0149155Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0149314Z    94 |     struct array
2025-06-05T23:20:16.0149476Z       |            ^~~~~
2025-06-05T23:20:16.0150740Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.0151054Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0151299Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0160225Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0170151Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0179897Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0188419Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0198072Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0208010Z /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)>]’
2025-06-05T23:20:16.0211629Z /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]’
2025-06-05T23:20:16.0212194Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0213099Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0213244Z    94 |     struct array
2025-06-05T23:20:16.0213384Z       |            ^~~~~
2025-06-05T23:20:16.0214676Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.0215013Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0215210Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0224811Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0235150Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0245306Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0254440Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0264265Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0273822Z /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)>]’
2025-06-05T23:20:16.0277278Z /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]’
2025-06-05T23:20:16.0277867Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0278747Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0278902Z    94 |     struct array
2025-06-05T23:20:16.0279070Z       |            ^~~~~
2025-06-05T23:20:16.0280262Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.0280568Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0280757Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0289568Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0299166Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0308735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0317109Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0326768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0336571Z /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)>]’
2025-06-05T23:20:16.0340113Z /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]’
2025-06-05T23:20:16.0340658Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0341675Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0341893Z    94 |     struct array
2025-06-05T23:20:16.0342035Z       |            ^~~~~
2025-06-05T23:20:16.0342606Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.0343174Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.0343637Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.0344096Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0344710Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0345047Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0346756Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.0346925Z   384 |   unsigned short x;
2025-06-05T23:20:16.0347082Z       |                  ^
2025-06-05T23:20:16.0347319Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0347510Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0347961Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0348168Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0348655Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0348990Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0358262Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0368559Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0378813Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0387923Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0397497Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0407390Z /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)>]’
2025-06-05T23:20:16.0410982Z /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]’
2025-06-05T23:20:16.0411522Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0412478Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0412632Z    94 |     struct array
2025-06-05T23:20:16.0412774Z       |            ^~~~~
2025-06-05T23:20:16.0413395Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.0413958Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.0414426Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.0414883Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0415486Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0415836Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0417576Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.0417750Z   384 |   unsigned short x;
2025-06-05T23:20:16.0417890Z       |                  ^
2025-06-05T23:20:16.0418121Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0418338Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0418626Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0418830Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0419306Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0419630Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0428663Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0438602Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0448022Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0456628Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0466467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0476630Z /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)>]’
2025-06-05T23:20:16.0480103Z /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]’
2025-06-05T23:20:16.0480709Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0481724Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0481877Z    94 |     struct array
2025-06-05T23:20:16.0482015Z       |            ^~~~~
2025-06-05T23:20:16.0482628Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.0483056Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.0483516Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0484123Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0484429Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0486151Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.0486311Z    84 |   uint16_t x;
2025-06-05T23:20:16.0486439Z       |            ^
2025-06-05T23:20:16.0486666Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0486872Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0487175Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0487379Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0487856Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0488215Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0497902Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0508385Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0518312Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0527275Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0536916Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0546717Z /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)>]’
2025-06-05T23:20:16.0550455Z /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]’
2025-06-05T23:20:16.0550988Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0551980Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0552129Z    94 |     struct array
2025-06-05T23:20:16.0552268Z       |            ^~~~~
2025-06-05T23:20:16.0552894Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.0553359Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.0553779Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0554370Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0554729Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0556415Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.0556633Z    84 |   uint16_t x;
2025-06-05T23:20:16.0556843Z       |            ^
2025-06-05T23:20:16.0557075Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0557275Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0557583Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0557793Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0558264Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0558618Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0567837Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0577423Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0594837Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0611272Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0625279Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0635079Z /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)>]’
2025-06-05T23:20:16.0641351Z /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]’
2025-06-05T23:20:16.0643154Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0644013Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0644544Z    94 |     struct array
2025-06-05T23:20:16.0644785Z       |            ^~~~~
2025-06-05T23:20:16.0645577Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.0646425Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0646805Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0651938Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0665653Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0679369Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0689804Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0700130Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0717175Z /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)>]’
2025-06-05T23:20:16.0724732Z /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]’
2025-06-05T23:20:16.0726712Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0727654Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0728249Z    94 |     struct array
2025-06-05T23:20:16.0728480Z       |            ^~~~~
2025-06-05T23:20:16.0729352Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.0730167Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0730769Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0736004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0745515Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0754900Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0763481Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0772366Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0781656Z /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)>]’
2025-06-05T23:20:16.0788490Z /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]’
2025-06-05T23:20:16.0791118Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0792543Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0793246Z    94 |     struct array
2025-06-05T23:20:16.0793685Z       |            ^~~~~
2025-06-05T23:20:16.0795174Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.0796504Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0797238Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0803003Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.0812635Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0827354Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.0843469Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.0860230Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.0871727Z /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)>]’
2025-06-05T23:20:16.0879427Z /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]’
2025-06-05T23:20:16.0881443Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0882384Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0882918Z    94 |     struct array
2025-06-05T23:20:16.0883163Z       |            ^~~~~
2025-06-05T23:20:16.0884047Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.0885000Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.0885652Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.0894686Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.0906620Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0918785Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.0927830Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.0937075Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.0947673Z /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)>]’
2025-06-05T23:20:16.0955499Z /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]’
2025-06-05T23:20:16.0959466Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.0960987Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.0961684Z    94 |     struct array
2025-06-05T23:20:16.0961931Z       |            ^~~~~
2025-06-05T23:20:16.0962536Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.0963529Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.0964491Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.0965273Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.0966107Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.0967135Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.0969058Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.0970584Z   384 |   unsigned short x;
2025-06-05T23:20:16.0970995Z       |                  ^
2025-06-05T23:20:16.0971487Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.0972254Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.0973031Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.0973714Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.0974544Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.0975561Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.0985421Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.1003323Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1021468Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1037640Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.1054458Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.1071853Z /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)>]’
2025-06-05T23:20:16.1083786Z /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]’
2025-06-05T23:20:16.1087229Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1088848Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1089825Z    94 |     struct array
2025-06-05T23:20:16.1090221Z       |            ^~~~~
2025-06-05T23:20:16.1091238Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.1092512Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.1093715Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.1094840Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.1096059Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.1097221Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.1099045Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.1099919Z   384 |   unsigned short x;
2025-06-05T23:20:16.1100181Z       |                  ^
2025-06-05T23:20:16.1100465Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.1100829Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.1101209Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.1101606Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.1102177Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.1102746Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.1107795Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.1123032Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1140682Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1157087Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.1172918Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.1190579Z /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)>]’
2025-06-05T23:20:16.1202656Z /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]’
2025-06-05T23:20:16.1204883Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1205839Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1206402Z    94 |     struct array
2025-06-05T23:20:16.1206647Z       |            ^~~~~
2025-06-05T23:20:16.1207106Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.1207801Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.1208404Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.1209184Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.1209806Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.1210980Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.1211819Z    84 |   uint16_t x;
2025-06-05T23:20:16.1212031Z       |            ^
2025-06-05T23:20:16.1212353Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.1212716Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.1213093Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.1213489Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.1213958Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.1214521Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.1219726Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.1233409Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1252538Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1270541Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.1287873Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.1306546Z /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)>]’
2025-06-05T23:20:16.1318901Z /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]’
2025-06-05T23:20:16.1322488Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1324168Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1325308Z    94 |     struct array
2025-06-05T23:20:16.1325714Z       |            ^~~~~
2025-06-05T23:20:16.1326601Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.1327936Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.1329068Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.1330367Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.1331537Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.1333825Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.1335470Z    84 |   uint16_t x;
2025-06-05T23:20:16.1335855Z       |            ^
2025-06-05T23:20:16.1336340Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.1336914Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.1337563Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.1338212Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.1339104Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.1340187Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.1349898Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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 = long int]’:
2025-06-05T23:20:16.1367529Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1385443Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1402681Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.1419625Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.1438036Z /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)>]’
2025-06-05T23:20:16.1450141Z /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]’
2025-06-05T23:20:16.1453631Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1455317Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1456343Z    94 |     struct array
2025-06-05T23:20:16.1456749Z       |            ^~~~~
2025-06-05T23:20:16.1458228Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.1459652Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.1460392Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.1471175Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.1489846Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1508934Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1526725Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.1544229Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.1562746Z /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)>]’
2025-06-05T23:20:16.1575070Z /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]’
2025-06-05T23:20:16.1578711Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1580370Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1581388Z    94 |     struct array
2025-06-05T23:20:16.1581816Z       |            ^~~~~
2025-06-05T23:20:16.1583329Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.1584786Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.1585487Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.1594976Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.1612763Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1631527Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1648258Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.1665219Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.1683563Z /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)>]’
2025-06-05T23:20:16.1695904Z /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]’
2025-06-05T23:20:16.1699503Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1701241Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1702234Z    94 |     struct array
2025-06-05T23:20:16.1702676Z       |            ^~~~~
2025-06-05T23:20:16.1704247Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.1705670Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.1706296Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.1716468Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.1735481Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1755513Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.1771854Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.1789504Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.1807702Z /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)>]’
2025-06-05T23:20:16.1820091Z /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]’
2025-06-05T23:20:16.1823677Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1825350Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1826447Z    94 |     struct array
2025-06-05T23:20:16.1826867Z       |            ^~~~~
2025-06-05T23:20:16.1828530Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.1830022Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.1830741Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.1840167Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.1857920Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1875881Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.1892841Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.1910165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.1928581Z /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)>]’
2025-06-05T23:20:16.1940688Z /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]’
2025-06-05T23:20:16.1944152Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.1945788Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.1946820Z    94 |     struct array
2025-06-05T23:20:16.1947232Z       |            ^~~~~
2025-06-05T23:20:16.1948143Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.1949511Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.1950756Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.1951914Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.1953199Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.1954374Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.1956725Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.1958356Z   384 |   unsigned short x;
2025-06-05T23:20:16.1958788Z       |                  ^
2025-06-05T23:20:16.1959296Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.1959947Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.1960662Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.1961441Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.1962326Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.1963359Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.1973614Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.1992352Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2011333Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2029463Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.2046968Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.2065681Z /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)>]’
2025-06-05T23:20:16.2078026Z /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]’
2025-06-05T23:20:16.2081586Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2083275Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2084286Z    94 |     struct array
2025-06-05T23:20:16.2084695Z       |            ^~~~~
2025-06-05T23:20:16.2085546Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.2086890Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.2088331Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.2089503Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.2090814Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.2092005Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.2094324Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.2095969Z   384 |   unsigned short x;
2025-06-05T23:20:16.2096404Z       |                  ^
2025-06-05T23:20:16.2096923Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.2097556Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.2098254Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.2098978Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.2099874Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.2101029Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.2110865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.2128588Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2146930Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2163973Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.2180804Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.2199491Z /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)>]’
2025-06-05T23:20:16.2211899Z /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]’
2025-06-05T23:20:16.2215493Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2217163Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2218235Z    94 |     struct array
2025-06-05T23:20:16.2218623Z       |            ^~~~~
2025-06-05T23:20:16.2219491Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.2220800Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.2221978Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.2223283Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.2224448Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.2226818Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.2228537Z    84 |   uint16_t x;
2025-06-05T23:20:16.2228930Z       |            ^
2025-06-05T23:20:16.2229409Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.2230057Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.2230777Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.2231480Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.2232403Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.2233475Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.2243575Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.2262606Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2281380Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2299079Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.2317191Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.2335556Z /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)>]’
2025-06-05T23:20:16.2347989Z /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]’
2025-06-05T23:20:16.2351636Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2353596Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2354787Z    94 |     struct array
2025-06-05T23:20:16.2355310Z       |            ^~~~~
2025-06-05T23:20:16.2356363Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.2357719Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.2359049Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.2360542Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.2361807Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.2364371Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.2365858Z    84 |   uint16_t x;
2025-06-05T23:20:16.2366419Z       |            ^
2025-06-05T23:20:16.2367013Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.2367776Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.2368769Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.2369566Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.2370646Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.2371806Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.2381679Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.2399970Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2419153Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2436066Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.2453384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.2472510Z /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)>]’
2025-06-05T23:20:16.2485268Z /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]’
2025-06-05T23:20:16.2489055Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2490790Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2492046Z    94 |     struct array
2025-06-05T23:20:16.2492555Z       |            ^~~~~
2025-06-05T23:20:16.2494182Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.2495862Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.2496608Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.2506614Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.2525169Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2543688Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2561887Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.2579560Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.2598933Z /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)>]’
2025-06-05T23:20:16.2611731Z /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]’
2025-06-05T23:20:16.2615578Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2617446Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2618549Z    94 |     struct array
2025-06-05T23:20:16.2619133Z       |            ^~~~~
2025-06-05T23:20:16.2620674Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.2622156Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.2623038Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.2632720Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.2651208Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2669937Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2687957Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.2705272Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.2724402Z /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)>]’
2025-06-05T23:20:16.2737387Z /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]’
2025-06-05T23:20:16.2741352Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2743163Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2744336Z    94 |     struct array
2025-06-05T23:20:16.2744959Z       |            ^~~~~
2025-06-05T23:20:16.2746657Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.2748788Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.2749685Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.2759978Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.2779529Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2798935Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.2817403Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.2835712Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.2854675Z /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)>]’
2025-06-05T23:20:16.2867787Z /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]’
2025-06-05T23:20:16.2871431Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2873312Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2874490Z    94 |     struct array
2025-06-05T23:20:16.2874990Z       |            ^~~~~
2025-06-05T23:20:16.2876720Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.2878265Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.2879119Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.2888843Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.2907305Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2926091Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.2943222Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.2960074Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.2978827Z /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)>]’
2025-06-05T23:20:16.2991925Z /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]’
2025-06-05T23:20:16.2995868Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.2997667Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.2998781Z    94 |     struct array
2025-06-05T23:20:16.2999398Z       |            ^~~~~
2025-06-05T23:20:16.3000308Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.3001784Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.3003200Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.3004442Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3006284Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3007624Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3010093Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.3012106Z   384 |   unsigned short x;
2025-06-05T23:20:16.3012619Z       |                  ^
2025-06-05T23:20:16.3013243Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3014278Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3015555Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3016447Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3017583Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3018724Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3028681Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.3047514Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3080628Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3097338Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.3113290Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.3130719Z /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)>]’
2025-06-05T23:20:16.3142629Z /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]’
2025-06-05T23:20:16.3146068Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3147833Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3148836Z    94 |     struct array
2025-06-05T23:20:16.3149235Z       |            ^~~~~
2025-06-05T23:20:16.3150011Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.3151280Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.3152461Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.3153657Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3154935Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3156020Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3158352Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.3159880Z   384 |   unsigned short x;
2025-06-05T23:20:16.3160307Z       |                  ^
2025-06-05T23:20:16.3160812Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3161558Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3162299Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3162975Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3163998Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3164968Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3174375Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.3191896Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3209909Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3226315Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.3242166Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.3258780Z /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)>]’
2025-06-05T23:20:16.3271022Z /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]’
2025-06-05T23:20:16.3274754Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3276398Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3277334Z    94 |     struct array
2025-06-05T23:20:16.3277715Z       |            ^~~~~
2025-06-05T23:20:16.3278547Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.3279755Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.3281150Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3282417Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3283538Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3285872Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.3287507Z    84 |   uint16_t x;
2025-06-05T23:20:16.3287911Z       |            ^
2025-06-05T23:20:16.3288382Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3289047Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3289753Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3290379Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3291235Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3292227Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3302324Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.3320721Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3339633Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3356247Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.3373030Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.3389527Z /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)>]’
2025-06-05T23:20:16.3401282Z /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]’
2025-06-05T23:20:16.3404587Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3406286Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3407324Z    94 |     struct array
2025-06-05T23:20:16.3407739Z       |            ^~~~~
2025-06-05T23:20:16.3408592Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.3409874Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.3410927Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3412128Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3413252Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3415386Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.3416891Z    84 |   uint16_t x;
2025-06-05T23:20:16.3417278Z       |            ^
2025-06-05T23:20:16.3417722Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3418331Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3418972Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3419634Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3420536Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3421574Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3431030Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.3449165Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3467556Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3484305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.3501252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.3519945Z /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)>]’
2025-06-05T23:20:16.3532375Z /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]’
2025-06-05T23:20:16.3535873Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3538026Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3539109Z    94 |     struct array
2025-06-05T23:20:16.3539535Z       |            ^~~~~
2025-06-05T23:20:16.3541084Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.3542502Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.3543183Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.3553114Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.3572304Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3592271Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3610252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.3628015Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.3646806Z /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)>]’
2025-06-05T23:20:16.3659123Z /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]’
2025-06-05T23:20:16.3662545Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3664192Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3665078Z    94 |     struct array
2025-06-05T23:20:16.3665596Z       |            ^~~~~
2025-06-05T23:20:16.3667200Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.3668715Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.3669446Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.3678948Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.3688644Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3699772Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3708285Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.3717881Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.3727675Z /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)>]’
2025-06-05T23:20:16.3731275Z /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]’
2025-06-05T23:20:16.3731824Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3732735Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3732892Z    94 |     struct array
2025-06-05T23:20:16.3733047Z       |            ^~~~~
2025-06-05T23:20:16.3734367Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.3734697Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.3734959Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.3744750Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.3758025Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3768617Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3778096Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.3787743Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.3798514Z /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)>]’
2025-06-05T23:20:16.3803216Z /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]’
2025-06-05T23:20:16.3804040Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3805364Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3805535Z    94 |     struct array
2025-06-05T23:20:16.3805744Z       |            ^~~~~
2025-06-05T23:20:16.3807085Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.3807547Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.3807736Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.3818165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.3828095Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3837556Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3845662Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.3855576Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.3865412Z /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)>]’
2025-06-05T23:20:16.3868538Z /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]’
2025-06-05T23:20:16.3869086Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3870555Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3870706Z    94 |     struct array
2025-06-05T23:20:16.3870887Z       |            ^~~~~
2025-06-05T23:20:16.3871686Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.3872304Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.3872797Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.3873276Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3873843Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3874180Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3876010Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.3876176Z   384 |   unsigned short x;
2025-06-05T23:20:16.3876320Z       |                  ^
2025-06-05T23:20:16.3876568Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3876775Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3877070Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3877341Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3877844Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3878157Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3887616Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.3897952Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3908271Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.3917233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.3926829Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.3936691Z /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)>]’
2025-06-05T23:20:16.3940307Z /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]’
2025-06-05T23:20:16.3940905Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.3941830Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.3941983Z    94 |     struct array
2025-06-05T23:20:16.3942137Z       |            ^~~~~
2025-06-05T23:20:16.3942721Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.3943269Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.3943761Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.3944233Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.3944828Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.3945203Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.3946918Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.3947077Z   384 |   unsigned short x;
2025-06-05T23:20:16.3947231Z       |                  ^
2025-06-05T23:20:16.3947468Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.3947755Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.3948043Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.3948258Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.3948757Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.3949096Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.3958174Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.3968322Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3977773Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.3986313Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.3995983Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4006105Z /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)>]’
2025-06-05T23:20:16.4009702Z /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]’
2025-06-05T23:20:16.4010232Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4011169Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4011336Z    94 |     struct array
2025-06-05T23:20:16.4011477Z       |            ^~~~~
2025-06-05T23:20:16.4012086Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.4012505Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.4012980Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4013586Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4013941Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4015567Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.4015716Z    84 |   uint16_t x;
2025-06-05T23:20:16.4015857Z       |            ^
2025-06-05T23:20:16.4016115Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4016321Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4016613Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4016834Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4017308Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4017801Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4027202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4037605Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4047745Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4056918Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4066686Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4076654Z /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)>]’
2025-06-05T23:20:16.4080391Z /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]’
2025-06-05T23:20:16.4080919Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4081838Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4082011Z    94 |     struct array
2025-06-05T23:20:16.4082152Z       |            ^~~~~
2025-06-05T23:20:16.4082743Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.4083230Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.4083712Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4084501Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4084856Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4086326Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.4086480Z    84 |   uint16_t x;
2025-06-05T23:20:16.4086604Z       |            ^
2025-06-05T23:20:16.4086855Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4087052Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4087340Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4087558Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4088028Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4088396Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4097466Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4106885Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4115742Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4124166Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4133694Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4143324Z /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)>]’
2025-06-05T23:20:16.4146828Z /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]’
2025-06-05T23:20:16.4147515Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4148521Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4148687Z    94 |     struct array
2025-06-05T23:20:16.4148819Z       |            ^~~~~
2025-06-05T23:20:16.4150085Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.4150389Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4150588Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4160453Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4170517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4180719Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4189965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4199463Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4209420Z /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)>]’
2025-06-05T23:20:16.4212952Z /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]’
2025-06-05T23:20:16.4213423Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4214483Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4214632Z    94 |     struct array
2025-06-05T23:20:16.4214773Z       |            ^~~~~
2025-06-05T23:20:16.4216048Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.4216352Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4216538Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4225329Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4235347Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4244817Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4251654Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4257011Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4262067Z /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)>]’
2025-06-05T23:20:16.4264071Z /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]’
2025-06-05T23:20:16.4264366Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4264861Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4264954Z    94 |     struct array
2025-06-05T23:20:16.4265054Z       |            ^~~~~
2025-06-05T23:20:16.4265731Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.4266080Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4266238Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4272964Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4283160Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4292756Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4301683Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4311402Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4321309Z /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)>]’
2025-06-05T23:20:16.4324821Z /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]’
2025-06-05T23:20:16.4325369Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4326270Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4326425Z    94 |     struct array
2025-06-05T23:20:16.4326582Z       |            ^~~~~
2025-06-05T23:20:16.4327826Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.4328130Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4328451Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4337359Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4347143Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4356540Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4365356Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4374999Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4384780Z /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)>]’
2025-06-05T23:20:16.4388469Z /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]’
2025-06-05T23:20:16.4389014Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4389958Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4390105Z    94 |     struct array
2025-06-05T23:20:16.4390250Z       |            ^~~~~
2025-06-05T23:20:16.4390846Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.4391391Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.4391847Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.4392318Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4392919Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4393409Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4395115Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.4395305Z   384 |   unsigned short x;
2025-06-05T23:20:16.4395445Z       |                  ^
2025-06-05T23:20:16.4395686Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4395902Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4396170Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4396370Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4397013Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4397368Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4410765Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4424189Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4434332Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4443477Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4452860Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4462868Z /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)>]’
2025-06-05T23:20:16.4466733Z /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]’
2025-06-05T23:20:16.4467367Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4468877Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4469037Z    94 |     struct array
2025-06-05T23:20:16.4469549Z       |            ^~~~~
2025-06-05T23:20:16.4470197Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.4470940Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.4471507Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.4472174Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4473277Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4473622Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4476428Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.4476598Z   384 |   unsigned short x;
2025-06-05T23:20:16.4476738Z       |                  ^
2025-06-05T23:20:16.4476994Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4477176Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4477467Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4477765Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4478255Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4478584Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4487607Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4497435Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4507052Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4515574Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4525215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4534975Z /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)>]’
2025-06-05T23:20:16.4538455Z /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]’
2025-06-05T23:20:16.4539014Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4540044Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4540198Z    94 |     struct array
2025-06-05T23:20:16.4540357Z       |            ^~~~~
2025-06-05T23:20:16.4540970Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.4541448Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.4541923Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4542576Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4542938Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4544557Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.4544702Z    84 |   uint16_t x;
2025-06-05T23:20:16.4544846Z       |            ^
2025-06-05T23:20:16.4545082Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4545300Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4545595Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4545759Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4546209Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4546541Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4556222Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4566657Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4576808Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4586027Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4595773Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4605635Z /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)>]’
2025-06-05T23:20:16.4609136Z /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]’
2025-06-05T23:20:16.4609733Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4610735Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4610895Z    94 |     struct array
2025-06-05T23:20:16.4611036Z       |            ^~~~~
2025-06-05T23:20:16.4611637Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.4612087Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.4612554Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4613170Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4613628Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4615382Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.4615533Z    84 |   uint16_t x;
2025-06-05T23:20:16.4615678Z       |            ^
2025-06-05T23:20:16.4615906Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4616119Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4616402Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4616599Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4617067Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4617412Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4626300Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4635852Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4645292Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4653564Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4663068Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4673580Z /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)>]’
2025-06-05T23:20:16.4677180Z /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]’
2025-06-05T23:20:16.4677710Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4678875Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4679011Z    94 |     struct array
2025-06-05T23:20:16.4679141Z       |            ^~~~~
2025-06-05T23:20:16.4680408Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.4680718Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4680900Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4690384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4700234Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4710845Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4719905Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4729610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4739440Z /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)>]’
2025-06-05T23:20:16.4742985Z /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]’
2025-06-05T23:20:16.4743496Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4744405Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4744674Z    94 |     struct array
2025-06-05T23:20:16.4744816Z       |            ^~~~~
2025-06-05T23:20:16.4746022Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.4746367Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4746557Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4755428Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4765153Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4774599Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4783239Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4793403Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4802410Z /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)>]’
2025-06-05T23:20:16.4806149Z /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]’
2025-06-05T23:20:16.4806672Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4807616Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4807767Z    94 |     struct array
2025-06-05T23:20:16.4807907Z       |            ^~~~~
2025-06-05T23:20:16.4809199Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.4809579Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4809806Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4819231Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4829230Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4838423Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4847422Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4856995Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4865795Z /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)>]’
2025-06-05T23:20:16.4869348Z /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]’
2025-06-05T23:20:16.4869849Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4870577Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4870733Z    94 |     struct array
2025-06-05T23:20:16.4870875Z       |            ^~~~~
2025-06-05T23:20:16.4872167Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.4872461Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.4872748Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.4878043Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.4887216Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4896931Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.4905396Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.4915328Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.4925081Z /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)>]’
2025-06-05T23:20:16.4928515Z /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]’
2025-06-05T23:20:16.4929143Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.4930065Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.4930219Z    94 |     struct array
2025-06-05T23:20:16.4930366Z       |            ^~~~~
2025-06-05T23:20:16.4930937Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.4931456Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.4931855Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.4932269Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.4932842Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.4933286Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.4935005Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.4935170Z   384 |   unsigned short x;
2025-06-05T23:20:16.4935320Z       |                  ^
2025-06-05T23:20:16.4935577Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.4935780Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.4936075Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.4936278Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.4936782Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.4937121Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.4946660Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.4957452Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4967939Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.4977135Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.4986870Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.4996957Z /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)>]’
2025-06-05T23:20:16.5000738Z /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]’
2025-06-05T23:20:16.5001327Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5002272Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5002424Z    94 |     struct array
2025-06-05T23:20:16.5002579Z       |            ^~~~~
2025-06-05T23:20:16.5003159Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.5003717Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.5004207Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.5004677Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5005287Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5005660Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5007426Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.5007588Z   384 |   unsigned short x;
2025-06-05T23:20:16.5007736Z       |                  ^
2025-06-05T23:20:16.5007969Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5008167Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5008455Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5008672Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5009153Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5009491Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5018469Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5028447Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5038301Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5046813Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5056615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5067751Z /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)>]’
2025-06-05T23:20:16.5071444Z /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]’
2025-06-05T23:20:16.5071981Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5073012Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5073179Z    94 |     struct array
2025-06-05T23:20:16.5073319Z       |            ^~~~~
2025-06-05T23:20:16.5073939Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.5074729Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.5075212Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5075798Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5076146Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5077829Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.5077981Z    84 |   uint16_t x;
2025-06-05T23:20:16.5078122Z       |            ^
2025-06-05T23:20:16.5078379Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5078559Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5078824Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5079032Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5079752Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5080210Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5089439Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5099902Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5110071Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5119164Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5129019Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.5138921Z /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)>]’
2025-06-05T23:20:16.5142473Z /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]’
2025-06-05T23:20:16.5143000Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5143959Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5144129Z    94 |     struct array
2025-06-05T23:20:16.5144271Z       |            ^~~~~
2025-06-05T23:20:16.5144886Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.5145363Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.5145915Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5146463Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5146837Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5148641Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.5148802Z    84 |   uint16_t x;
2025-06-05T23:20:16.5148936Z       |            ^
2025-06-05T23:20:16.5149190Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5149400Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5149697Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5149916Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5150407Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5150744Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5159783Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5169684Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5179116Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5187893Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5197900Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5206596Z /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)>]’
2025-06-05T23:20:16.5210052Z /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]’
2025-06-05T23:20:16.5210690Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5211568Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5211718Z    94 |     struct array
2025-06-05T23:20:16.5211866Z       |            ^~~~~
2025-06-05T23:20:16.5212953Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.5213222Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.5213415Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.5222629Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5232169Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5241462Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5250545Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5259414Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.5268958Z /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)>]’
2025-06-05T23:20:16.5272304Z /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]’
2025-06-05T23:20:16.5272932Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5273861Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5274003Z    94 |     struct array
2025-06-05T23:20:16.5274139Z       |            ^~~~~
2025-06-05T23:20:16.5275294Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.5275607Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.5275786Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.5283410Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5292358Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5300622Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5305932Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5311587Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5319724Z /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)>]’
2025-06-05T23:20:16.5322594Z /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]’
2025-06-05T23:20:16.5323027Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5323831Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5324053Z    94 |     struct array
2025-06-05T23:20:16.5324218Z       |            ^~~~~
2025-06-05T23:20:16.5325293Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.5325562Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.5325732Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.5334066Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5343221Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5352512Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5360355Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5368128Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.5376654Z /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)>]’
2025-06-05T23:20:16.5380417Z /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]’
2025-06-05T23:20:16.5380989Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5381905Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5382036Z    94 |     struct array
2025-06-05T23:20:16.5382270Z       |            ^~~~~
2025-06-05T23:20:16.5383546Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.5383915Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.5384111Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.5393741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5403528Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5412830Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5421156Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5430923Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5440858Z /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)>]’
2025-06-05T23:20:16.5444459Z /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]’
2025-06-05T23:20:16.5445007Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5445934Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5446094Z    94 |     struct array
2025-06-05T23:20:16.5446262Z       |            ^~~~~
2025-06-05T23:20:16.5446821Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.5447354Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.5447902Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.5448352Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5448956Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5449323Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5451051Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.5451206Z   384 |   unsigned short x;
2025-06-05T23:20:16.5451359Z       |                  ^
2025-06-05T23:20:16.5451596Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5451797Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5452067Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5452289Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5452766Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5453223Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5462623Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5473194Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5483296Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5492542Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5502370Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.5512167Z /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)>]’
2025-06-05T23:20:16.5515671Z /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]’
2025-06-05T23:20:16.5516208Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5517138Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5517312Z    94 |     struct array
2025-06-05T23:20:16.5517459Z       |            ^~~~~
2025-06-05T23:20:16.5518051Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.5518632Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.5519219Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.5519692Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5520314Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5520677Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5522400Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.5522579Z   384 |   unsigned short x;
2025-06-05T23:20:16.5522722Z       |                  ^
2025-06-05T23:20:16.5522967Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5523184Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5523489Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5523679Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5524131Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5524440Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5532653Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5542595Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5552250Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5560684Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5569524Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5578829Z /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)>]’
2025-06-05T23:20:16.5582473Z /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]’
2025-06-05T23:20:16.5585973Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5587749Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5588730Z    94 |     struct array
2025-06-05T23:20:16.5589092Z       |            ^~~~~
2025-06-05T23:20:16.5589897Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.5591097Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.5592185Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5593405Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5594474Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5596695Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.5598163Z    84 |   uint16_t x;
2025-06-05T23:20:16.5598553Z       |            ^
2025-06-05T23:20:16.5606441Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5607146Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5607821Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5608640Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5609561Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5610586Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5620123Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5639385Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5713951Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5731785Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5749443Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.5767397Z /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)>]’
2025-06-05T23:20:16.5779850Z /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]’
2025-06-05T23:20:16.5783402Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5785094Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5786159Z    94 |     struct array
2025-06-05T23:20:16.5786551Z       |            ^~~~~
2025-06-05T23:20:16.5787490Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.5788893Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.5790061Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.5791321Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.5792524Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.5794827Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.5796435Z    84 |   uint16_t x;
2025-06-05T23:20:16.5796838Z       |            ^
2025-06-05T23:20:16.5797312Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.5797976Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.5798657Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.5799391Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.5800140Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.5801131Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.5810602Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.5828098Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5845773Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.5862635Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.5879638Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.5897739Z /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)>]’
2025-06-05T23:20:16.5907185Z /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]’
2025-06-05T23:20:16.5909958Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.5911142Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.5911871Z    94 |     struct array
2025-06-05T23:20:16.5912203Z       |            ^~~~~
2025-06-05T23:20:16.5913347Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.5914431Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.5915030Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.5923255Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.5939931Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5957088Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.5973960Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.5988966Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.6007465Z /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)>]’
2025-06-05T23:20:16.6019728Z /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]’
2025-06-05T23:20:16.6023393Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6025060Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6026054Z    94 |     struct array
2025-06-05T23:20:16.6026486Z       |            ^~~~~
2025-06-05T23:20:16.6028109Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.6029569Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.6030302Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.6039399Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.6057389Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6075854Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6092789Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.6109968Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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 executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:20:16.6128462Z /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)>]’
2025-06-05T23:20:16.6140406Z /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]’
2025-06-05T23:20:16.6143884Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6145648Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6146672Z    94 |     struct array
2025-06-05T23:20:16.6147087Z       |            ^~~~~
2025-06-05T23:20:16.6148744Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.6150254Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.6150984Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.6160936Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.6179506Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6198754Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6216676Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.6234230Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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 executorch::runtime::etensor::Tensor*, torch::executor::native::utils::SupportedTensorDtypes>}]’
2025-06-05T23:20:16.6252709Z /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)>]’
2025-06-05T23:20:16.6264954Z /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]’
2025-06-05T23:20:16.6268622Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6270313Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6271392Z    94 |     struct array
2025-06-05T23:20:16.6271814Z       |            ^~~~~
2025-06-05T23:20:16.6273396Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.6274850Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.6275543Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.6284943Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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 int; auto:4 = long int]’:
2025-06-05T23:20:16.6302746Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6320445Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6337264Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.6354046Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.6372677Z /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)>]’
2025-06-05T23:20:16.6385076Z /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]’
2025-06-05T23:20:16.6388804Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6390473Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6391497Z    94 |     struct array
2025-06-05T23:20:16.6391912Z       |            ^~~~~
2025-06-05T23:20:16.6392727Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.6394045Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.6395371Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.6396578Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.6397877Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.6399033Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.6401362Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.6402942Z   384 |   unsigned short x;
2025-06-05T23:20:16.6403377Z       |                  ^
2025-06-05T23:20:16.6403883Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.6404547Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.6405274Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.6405984Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.6406892Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.6407963Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.6417897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.6432781Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6448803Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6466073Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.6482881Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.6501219Z /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)>]’
2025-06-05T23:20:16.6513727Z /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]’
2025-06-05T23:20:16.6517285Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6518933Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6519949Z    94 |     struct array
2025-06-05T23:20:16.6520378Z       |            ^~~~~
2025-06-05T23:20:16.6521214Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.6522521Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.6523735Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.6524871Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.6526149Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.6527340Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.6529640Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.6531292Z   384 |   unsigned short x;
2025-06-05T23:20:16.6531735Z       |                  ^
2025-06-05T23:20:16.6532241Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.6532980Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.6533723Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.6534449Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.6535309Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.6536391Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.6546181Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.6564077Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6582119Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6598890Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.6615891Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.6634588Z /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)>]’
2025-06-05T23:20:16.6646896Z /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]’
2025-06-05T23:20:16.6650441Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6652170Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6653259Z    94 |     struct array
2025-06-05T23:20:16.6653674Z       |            ^~~~~
2025-06-05T23:20:16.6654565Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.6655886Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.6657184Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.6658498Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.6659454Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.6661771Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.6663411Z    84 |   uint16_t x;
2025-06-05T23:20:16.6663941Z       |            ^
2025-06-05T23:20:16.6664433Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.6665083Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.6665810Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.6666455Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.6667345Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.6668458Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.6678768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.6697930Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6717474Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6735647Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.6753536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.6772102Z /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)>]’
2025-06-05T23:20:16.6784747Z /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]’
2025-06-05T23:20:16.6788447Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6790164Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6791230Z    94 |     struct array
2025-06-05T23:20:16.6791648Z       |            ^~~~~
2025-06-05T23:20:16.6792544Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.6793855Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.6795039Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.6796282Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.6797578Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.6799944Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.6801585Z    84 |   uint16_t x;
2025-06-05T23:20:16.6801988Z       |            ^
2025-06-05T23:20:16.6802434Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.6803194Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.6803912Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.6804632Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.6805489Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.6806498Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.6816050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.6833712Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6851790Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.6868910Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.6885790Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.6904071Z /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)>]’
2025-06-05T23:20:16.6916293Z /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]’
2025-06-05T23:20:16.6919866Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.6921657Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.6922684Z    94 |     struct array
2025-06-05T23:20:16.6923106Z       |            ^~~~~
2025-06-05T23:20:16.6924649Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.6926116Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.6926909Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.6936651Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.6955564Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6974195Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.6991996Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.7009326Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.7027735Z /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)>]’
2025-06-05T23:20:16.7040040Z /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]’
2025-06-05T23:20:16.7043567Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7045236Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7046334Z    94 |     struct array
2025-06-05T23:20:16.7046724Z       |            ^~~~~
2025-06-05T23:20:16.7048336Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.7049968Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7050760Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7059145Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.7070250Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7081759Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7095055Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.7107886Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.7123916Z /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)>]’
2025-06-05T23:20:16.7132163Z /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]’
2025-06-05T23:20:16.7134073Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7135003Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7135546Z    94 |     struct array
2025-06-05T23:20:16.7135799Z       |            ^~~~~
2025-06-05T23:20:16.7136613Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.7137476Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7137876Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7143041Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.7153672Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7164175Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7174004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.7184008Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.7194555Z /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)>]’
2025-06-05T23:20:16.7200814Z /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]’
2025-06-05T23:20:16.7202647Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7203513Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7204066Z    94 |     struct array
2025-06-05T23:20:16.7204309Z       |            ^~~~~
2025-06-05T23:20:16.7205139Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.7206058Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7206604Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7212156Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.7223679Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7233735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7244172Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.7256558Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.7266950Z /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)>]’
2025-06-05T23:20:16.7273933Z /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]’
2025-06-05T23:20:16.7275949Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7290869Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7291455Z    94 |     struct array
2025-06-05T23:20:16.7291709Z       |            ^~~~~
2025-06-05T23:20:16.7292163Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.7292883Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.7293644Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.7294679Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.7295900Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.7297152Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.7299451Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.7300618Z   384 |   unsigned short x;
2025-06-05T23:20:16.7300867Z       |                  ^
2025-06-05T23:20:16.7301160Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.7301610Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.7302006Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.7302400Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.7302886Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.7303461Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.7308811Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:16.7318370Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7329690Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7346132Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.7362178Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.7376656Z /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)>]’
2025-06-05T23:20:16.7383051Z /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]’
2025-06-05T23:20:16.7384881Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7385757Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7386307Z    94 |     struct array
2025-06-05T23:20:16.7386600Z       |            ^~~~~
2025-06-05T23:20:16.7387085Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.7387895Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.7388550Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.7389148Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.7389829Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.7390453Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.7391647Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.7392502Z   384 |   unsigned short x;
2025-06-05T23:20:16.7392744Z       |                  ^
2025-06-05T23:20:16.7393033Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.7393454Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.7393869Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.7394263Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.7394859Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.7395843Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.7404233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.7420680Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7433216Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7446492Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.7463975Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.7481852Z /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)>]’
2025-06-05T23:20:16.7493134Z /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]’
2025-06-05T23:20:16.7495041Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7496153Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7496923Z    94 |     struct array
2025-06-05T23:20:16.7497177Z       |            ^~~~~
2025-06-05T23:20:16.7497646Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.7498485Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.7499102Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.7499767Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.7500391Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.7501588Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.7502435Z    84 |   uint16_t x;
2025-06-05T23:20:16.7502659Z       |            ^
2025-06-05T23:20:16.7502923Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.7503295Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.7503675Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.7504075Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.7504547Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.7505111Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.7511251Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)> [with auto:7 = long int; auto:8 = long int]’:
2025-06-05T23:20:16.7523620Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:16.7540051Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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>}]::<lambda(auto:7, auto:8)>; int64_t = long int]’
2025-06-05T23:20:16.7557598Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.7574613Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.7592746Z /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)>]’
2025-06-05T23:20:16.7605207Z /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]’
2025-06-05T23:20:16.7608417Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7609960Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7610717Z    94 |     struct array
2025-06-05T23:20:16.7611024Z       |            ^~~~~
2025-06-05T23:20:16.7611489Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.7612221Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.7612850Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.7613642Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.7614264Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.7615482Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.7616325Z    84 |   uint16_t x;
2025-06-05T23:20:16.7616538Z       |            ^
2025-06-05T23:20:16.7616858Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.7617427Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.7618100Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.7618765Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.7619606Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.7620626Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.7629557Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.7645965Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7663322Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7675324Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.7689951Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.7707206Z /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)>]’
2025-06-05T23:20:16.7719306Z /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]’
2025-06-05T23:20:16.7723068Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7724744Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7725740Z    94 |     struct array
2025-06-05T23:20:16.7726145Z       |            ^~~~~
2025-06-05T23:20:16.7727679Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.7729132Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7729831Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7739372Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.7758171Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7777755Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.7795773Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.7813204Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.7832105Z /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)>]’
2025-06-05T23:20:16.7844210Z /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]’
2025-06-05T23:20:16.7847637Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7849378Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7850349Z    94 |     struct array
2025-06-05T23:20:16.7850760Z       |            ^~~~~
2025-06-05T23:20:16.7852280Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.7853680Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7854347Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7863919Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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 int; auto:4 = long int]’:
2025-06-05T23:20:16.7881863Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7899933Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.7916802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.7933476Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.7951911Z /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)>]’
2025-06-05T23:20:16.7963929Z /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]’
2025-06-05T23:20:16.7967367Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.7969002Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.7970041Z    94 |     struct array
2025-06-05T23:20:16.7970454Z       |            ^~~~~
2025-06-05T23:20:16.7972126Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.7973586Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.7974318Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.7984240Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8003247Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8022574Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8040633Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8058353Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.8077292Z /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)>]’
2025-06-05T23:20:16.8089731Z /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]’
2025-06-05T23:20:16.8093325Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8094983Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8095989Z    94 |     struct array
2025-06-05T23:20:16.8096421Z       |            ^~~~~
2025-06-05T23:20:16.8097984Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.8099565Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.8100282Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.8110105Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.8127222Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8145769Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8162931Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.8179884Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.8198568Z /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)>]’
2025-06-05T23:20:16.8210920Z /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]’
2025-06-05T23:20:16.8214448Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8216139Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8217184Z    94 |     struct array
2025-06-05T23:20:16.8217595Z       |            ^~~~~
2025-06-05T23:20:16.8218438Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.8219763Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.8221015Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.8222243Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.8223557Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.8224730Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.8227065Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.8228762Z   384 |   unsigned short x;
2025-06-05T23:20:16.8229200Z       |                  ^
2025-06-05T23:20:16.8229682Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.8230339Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.8231046Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.8231723Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.8232594Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.8233662Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.8243723Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8262347Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8281710Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8299544Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8317624Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.8336190Z /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)>]’
2025-06-05T23:20:16.8348776Z /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]’
2025-06-05T23:20:16.8352368Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8354039Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8355066Z    94 |     struct array
2025-06-05T23:20:16.8355488Z       |            ^~~~~
2025-06-05T23:20:16.8356318Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.8357615Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.8358845Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.8360011Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.8361218Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.8362423Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.8364777Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.8366105Z   384 |   unsigned short x;
2025-06-05T23:20:16.8366479Z       |                  ^
2025-06-05T23:20:16.8366900Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.8367500Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.8368188Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.8368878Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.8369713Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.8370774Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.8379776Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.8397820Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8416173Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8433215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.8450004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.8467958Z /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)>]’
2025-06-05T23:20:16.8479439Z /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]’
2025-06-05T23:20:16.8482581Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8484156Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8485062Z    94 |     struct array
2025-06-05T23:20:16.8485494Z       |            ^~~~~
2025-06-05T23:20:16.8486360Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.8487481Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.8488478Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.8489827Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.8491136Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.8493712Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.8495547Z    84 |   uint16_t x;
2025-06-05T23:20:16.8495917Z       |            ^
2025-06-05T23:20:16.8496550Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.8497313Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.8498058Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.8499136Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.8500108Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.8501365Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.8511049Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8528849Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8547187Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8564583Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8580317Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.8594223Z /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)>]’
2025-06-05T23:20:16.8605084Z /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]’
2025-06-05T23:20:16.8608806Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8610581Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8610961Z    94 |     struct array
2025-06-05T23:20:16.8611103Z       |            ^~~~~
2025-06-05T23:20:16.8611683Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.8612181Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.8612647Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.8613209Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.8613579Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.8615298Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.8615457Z    84 |   uint16_t x;
2025-06-05T23:20:16.8615603Z       |            ^
2025-06-05T23:20:16.8615847Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.8616054Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.8616349Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.8616620Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.8617103Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.8617448Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.8626610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.8636502Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8646325Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8654449Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.8664128Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.8674423Z /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)>]’
2025-06-05T23:20:16.8678184Z /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]’
2025-06-05T23:20:16.8678708Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8679614Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8679789Z    94 |     struct array
2025-06-05T23:20:16.8679930Z       |            ^~~~~
2025-06-05T23:20:16.8681233Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.8681550Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.8681750Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.8691191Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8701421Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8711744Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8720895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8730523Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.8740529Z /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)>]’
2025-06-05T23:20:16.8744141Z /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]’
2025-06-05T23:20:16.8744679Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8745574Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8745732Z    94 |     struct array
2025-06-05T23:20:16.8745879Z       |            ^~~~~
2025-06-05T23:20:16.8747091Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.8747426Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.8747693Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.8756713Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.8766360Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8775990Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8784596Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.8794280Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.8804351Z /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)>]’
2025-06-05T23:20:16.8808097Z /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]’
2025-06-05T23:20:16.8808674Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8809612Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8809782Z    94 |     struct array
2025-06-05T23:20:16.8809922Z       |            ^~~~~
2025-06-05T23:20:16.8811209Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.8811513Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.8811705Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.8821305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8831666Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8841911Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8851202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8860691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.8870858Z /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)>]’
2025-06-05T23:20:16.8874663Z /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]’
2025-06-05T23:20:16.8875244Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8876186Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8876341Z    94 |     struct array
2025-06-05T23:20:16.8876483Z       |            ^~~~~
2025-06-05T23:20:16.8877768Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.8878081Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.8878279Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.8887393Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.8897018Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8906841Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.8915493Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.8925406Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.8935511Z /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)>]’
2025-06-05T23:20:16.8939104Z /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]’
2025-06-05T23:20:16.8939689Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.8940795Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.8940967Z    94 |     struct array
2025-06-05T23:20:16.8941103Z       |            ^~~~~
2025-06-05T23:20:16.8941688Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.8942256Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.8942732Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.8943196Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.8943814Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.8944175Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.8945936Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.8946115Z   384 |   unsigned short x;
2025-06-05T23:20:16.8946264Z       |                  ^
2025-06-05T23:20:16.8946555Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.8946765Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.8947067Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.8947263Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.8947821Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.8948175Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.8957926Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.8968666Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8979064Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.8988387Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.8998266Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9008442Z /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)>]’
2025-06-05T23:20:16.9012156Z /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]’
2025-06-05T23:20:16.9012686Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.9013687Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9013845Z    94 |     struct array
2025-06-05T23:20:16.9013986Z       |            ^~~~~
2025-06-05T23:20:16.9014581Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:16.9015128Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:16.9015564Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:16.9016091Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.9016701Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.9017059Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.9018812Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:16.9018991Z   384 |   unsigned short x;
2025-06-05T23:20:16.9019122Z       |                  ^
2025-06-05T23:20:16.9019365Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.9019585Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.9019876Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.9020080Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.9020588Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.9020949Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.9030333Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9040392Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9049860Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9057977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9068316Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9078450Z /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)>]’
2025-06-05T23:20:16.9082112Z /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]’
2025-06-05T23:20:16.9082681Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.9083666Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9083823Z    94 |     struct array
2025-06-05T23:20:16.9083969Z       |            ^~~~~
2025-06-05T23:20:16.9084593Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.9085071Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.9085544Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.9086164Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.9086533Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.9088250Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.9088414Z    84 |   uint16_t x;
2025-06-05T23:20:16.9088561Z       |            ^
2025-06-05T23:20:16.9088797Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.9089018Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.9089312Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.9089516Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.9089993Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:16.9090359Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:9:
2025-06-05T23:20:16.9100190Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9110768Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9120843Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9130001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9139684Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9149739Z /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)>]’
2025-06-05T23:20:16.9153468Z /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]’
2025-06-05T23:20:16.9153994Z /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:125:3:   required from here
2025-06-05T23:20:16.9154935Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9155092Z    94 |     struct array
2025-06-05T23:20:16.9155234Z       |            ^~~~~
2025-06-05T23:20:16.9155861Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:16.9156316Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:16.9156781Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-06-05T23:20:16.9157512Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/activation_ops_util.h:11,
2025-06-05T23:20:16.9157874Z                  from /pytorch/executorch/kernels/portable/cpu/op_glu.cpp:10:
2025-06-05T23:20:16.9159571Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:16.9159738Z    84 |   uint16_t x;
2025-06-05T23:20:16.9159878Z       |            ^
2025-06-05T23:20:16.9160122Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:16.9160341Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:16.9160617Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:16.9160820Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:16.9161326Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:16.9161935Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:16.9162276Z                  from /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:9:
2025-06-05T23:20:16.9169068Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9176355Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9183415Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9189595Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9196716Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9203379Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9207447Z /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)]’
2025-06-05T23:20:16.9207981Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9208956Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9209115Z    94 |     struct array
2025-06-05T23:20:16.9209262Z       |            ^~~~~
2025-06-05T23:20:16.9210688Z /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]’
2025-06-05T23:20:16.9211011Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9211200Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9218201Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9226092Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9233735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9240485Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9247595Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9254231Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9258408Z /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)]’
2025-06-05T23:20:16.9258976Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9259960Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9260115Z    94 |     struct array
2025-06-05T23:20:16.9260257Z       |            ^~~~~
2025-06-05T23:20:16.9261683Z /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]’
2025-06-05T23:20:16.9262006Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9262200Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9269095Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9276474Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9283209Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9289222Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9296278Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9302900Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9306936Z /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)]’
2025-06-05T23:20:16.9307520Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9308531Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9308675Z    94 |     struct array
2025-06-05T23:20:16.9308828Z       |            ^~~~~
2025-06-05T23:20:16.9310224Z /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]’
2025-06-05T23:20:16.9310540Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9310740Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9317739Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9325468Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9333125Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9339517Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9346653Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9353320Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9356967Z /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)]’
2025-06-05T23:20:16.9357509Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9358782Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9358940Z    94 |     struct array
2025-06-05T23:20:16.9359079Z       |            ^~~~~
2025-06-05T23:20:16.9360089Z /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]’
2025-06-05T23:20:16.9360272Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9360384Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9364152Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9368302Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9372724Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9378522Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9385624Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9392120Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9396164Z /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)]’
2025-06-05T23:20:16.9396721Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9397687Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9397862Z    94 |     struct array
2025-06-05T23:20:16.9398009Z       |            ^~~~~
2025-06-05T23:20:16.9399343Z /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]’
2025-06-05T23:20:16.9399658Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9399852Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9406751Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9414517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9422249Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9428823Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9435035Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9441639Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9444631Z /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)]’
2025-06-05T23:20:16.9444930Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9445600Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9445697Z    94 |     struct array
2025-06-05T23:20:16.9445793Z       |            ^~~~~
2025-06-05T23:20:16.9446501Z /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]’
2025-06-05T23:20:16.9446676Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9446783Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9450020Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9453844Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9458232Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9463331Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9468601Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9472126Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9474373Z /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)]’
2025-06-05T23:20:16.9474646Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9475119Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9475220Z    94 |     struct array
2025-06-05T23:20:16.9475342Z       |            ^~~~~
2025-06-05T23:20:16.9476052Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:16.9476249Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9476357Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9482362Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9489952Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9496740Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9502715Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9509134Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9514866Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9517309Z /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)]’
2025-06-05T23:20:16.9517629Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9518608Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9518746Z    94 |     struct array
2025-06-05T23:20:16.9518888Z       |            ^~~~~
2025-06-05T23:20:16.9520029Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:16.9520340Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9520524Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9526523Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9533306Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9540499Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9546510Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9553450Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9559348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9561545Z /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)]’
2025-06-05T23:20:16.9561831Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9562403Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9562509Z    94 |     struct array
2025-06-05T23:20:16.9562591Z       |            ^~~~~
2025-06-05T23:20:16.9563929Z /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]’
2025-06-05T23:20:16.9564211Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9564368Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9570987Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9578343Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9585648Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9591967Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9598853Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9605320Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9609499Z /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)]’
2025-06-05T23:20:16.9610032Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9610920Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9611085Z    94 |     struct array
2025-06-05T23:20:16.9611241Z       |            ^~~~~
2025-06-05T23:20:16.9612504Z /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]’
2025-06-05T23:20:16.9612810Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9613014Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9618991Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9625710Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9632101Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9637711Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9643945Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9650036Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9653965Z /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)]’
2025-06-05T23:20:16.9654459Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9655324Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9655516Z    94 |     struct array
2025-06-05T23:20:16.9655652Z       |            ^~~~~
2025-06-05T23:20:16.9656857Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.9657206Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9657406Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9664035Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9671611Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9677024Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9683352Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9690157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9696753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9700859Z /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)]’
2025-06-05T23:20:16.9701399Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9702358Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9702574Z    94 |     struct array
2025-06-05T23:20:16.9702729Z       |            ^~~~~
2025-06-05T23:20:16.9704094Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:16.9704411Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9704639Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9711122Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9718279Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9725270Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9731117Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9738097Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9744656Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9748965Z /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)]’
2025-06-05T23:20:16.9749451Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9750393Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9750549Z    94 |     struct array
2025-06-05T23:20:16.9750691Z       |            ^~~~~
2025-06-05T23:20:16.9751968Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.9752311Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9752515Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9759398Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9767248Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9774854Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9781420Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9788507Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9794897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9799116Z /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)]’
2025-06-05T23:20:16.9799663Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9800602Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9800755Z    94 |     struct array
2025-06-05T23:20:16.9800902Z       |            ^~~~~
2025-06-05T23:20:16.9802160Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:16.9802475Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9802747Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9809070Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9816097Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9822970Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9828744Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9835775Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9841933Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9846108Z /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)]’
2025-06-05T23:20:16.9846675Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9847638Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9847803Z    94 |     struct array
2025-06-05T23:20:16.9847952Z       |            ^~~~~
2025-06-05T23:20:16.9849293Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:16.9849639Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9849820Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9856572Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9864353Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9872085Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9878726Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:16.9885888Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:16.9892563Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:16.9896690Z /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)]’
2025-06-05T23:20:16.9897301Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:24:79:   required from here
2025-06-05T23:20:16.9898233Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:16.9898388Z    94 |     struct array
2025-06-05T23:20:16.9898540Z       |            ^~~~~
2025-06-05T23:20:16.9899800Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:16.9900116Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9900316Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9908717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:16.9917823Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9926637Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:16.9934288Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:16.9943170Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:16.9951813Z /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)>]’
2025-06-05T23:20:16.9955927Z /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)]’
2025-06-05T23:20:16.9956443Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:16.9957445Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:16.9957611Z    94 |     struct array
2025-06-05T23:20:16.9957752Z       |            ^~~~~
2025-06-05T23:20:16.9959181Z /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]’
2025-06-05T23:20:16.9959509Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:16.9959688Z       |                                                        ^~~~~~~~
2025-06-05T23:20:16.9968606Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:16.9978309Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9987844Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:16.9995897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0004878Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0013310Z /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)>]’
2025-06-05T23:20:17.0017595Z /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)]’
2025-06-05T23:20:17.0018156Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0019232Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0019388Z    94 |     struct array
2025-06-05T23:20:17.0019525Z       |            ^~~~~
2025-06-05T23:20:17.0020982Z /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]’
2025-06-05T23:20:17.0021315Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0021513Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0029761Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0038680Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0047646Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0055454Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0064495Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0073051Z /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)>]’
2025-06-05T23:20:17.0077244Z /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)]’
2025-06-05T23:20:17.0077815Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0078808Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0078963Z    94 |     struct array
2025-06-05T23:20:17.0079104Z       |            ^~~~~
2025-06-05T23:20:17.0080428Z /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]’
2025-06-05T23:20:17.0080715Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0080901Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0089762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0099440Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0109002Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0117987Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0126857Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0135365Z /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)>]’
2025-06-05T23:20:17.0139529Z /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)]’
2025-06-05T23:20:17.0140054Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0141019Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0141174Z    94 |     struct array
2025-06-05T23:20:17.0141320Z       |            ^~~~~
2025-06-05T23:20:17.0142673Z /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]’
2025-06-05T23:20:17.0143096Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0143288Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0151631Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0160726Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0169612Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0177271Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0185517Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0194127Z /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)>]’
2025-06-05T23:20:17.0198240Z /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)]’
2025-06-05T23:20:17.0198754Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0199717Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0199877Z    94 |     struct array
2025-06-05T23:20:17.0200108Z       |            ^~~~~
2025-06-05T23:20:17.0201457Z /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]’
2025-06-05T23:20:17.0201791Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0201997Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0210615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0220046Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0229538Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0237744Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0246648Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0255024Z /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)>]’
2025-06-05T23:20:17.0259160Z /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)]’
2025-06-05T23:20:17.0259679Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0260627Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0260802Z    94 |     struct array
2025-06-05T23:20:17.0260946Z       |            ^~~~~
2025-06-05T23:20:17.0262309Z /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]’
2025-06-05T23:20:17.0262626Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0262831Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0270863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0279948Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0288679Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0296334Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0303391Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0311962Z /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)>]’
2025-06-05T23:20:17.0316163Z /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)]’
2025-06-05T23:20:17.0316679Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0317592Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0317753Z    94 |     struct array
2025-06-05T23:20:17.0317895Z       |            ^~~~~
2025-06-05T23:20:17.0319150Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.0319479Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0319716Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0328318Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0337788Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0346942Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0355281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0364156Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0372166Z /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)>]’
2025-06-05T23:20:17.0376273Z /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)]’
2025-06-05T23:20:17.0376800Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0377876Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0378031Z    94 |     struct array
2025-06-05T23:20:17.0378170Z       |            ^~~~~
2025-06-05T23:20:17.0379419Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.0379727Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0379915Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0388166Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0396928Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0405572Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0413164Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0421940Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0429428Z /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)>]’
2025-06-05T23:20:17.0433407Z /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)]’
2025-06-05T23:20:17.0433905Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0434799Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0434955Z    94 |     struct array
2025-06-05T23:20:17.0435097Z       |            ^~~~~
2025-06-05T23:20:17.0436398Z /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]’
2025-06-05T23:20:17.0436718Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0436902Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0445500Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0454996Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0464344Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0473340Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0482092Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0490539Z /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)>]’
2025-06-05T23:20:17.0494589Z /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)]’
2025-06-05T23:20:17.0495170Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0496118Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0496281Z    94 |     struct array
2025-06-05T23:20:17.0496435Z       |            ^~~~~
2025-06-05T23:20:17.0497751Z /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]’
2025-06-05T23:20:17.0498066Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0498254Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0506174Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0514919Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0523705Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0531281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0539734Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0548054Z /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)>]’
2025-06-05T23:20:17.0552232Z /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)]’
2025-06-05T23:20:17.0552781Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0553682Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0553838Z    94 |     struct array
2025-06-05T23:20:17.0554042Z       |            ^~~~~
2025-06-05T23:20:17.0555318Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.0555632Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0555839Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0564478Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0573501Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0581907Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0590375Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0598647Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0606713Z /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)>]’
2025-06-05T23:20:17.0617039Z /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)]’
2025-06-05T23:20:17.0620955Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0622500Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0623502Z    94 |     struct array
2025-06-05T23:20:17.0623940Z       |            ^~~~~
2025-06-05T23:20:17.0625442Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.0626896Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0627565Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0635911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0651137Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0667229Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0682342Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0697482Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0713400Z /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)>]’
2025-06-05T23:20:17.0724494Z /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)]’
2025-06-05T23:20:17.0728501Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0730172Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0731195Z    94 |     struct array
2025-06-05T23:20:17.0731601Z       |            ^~~~~
2025-06-05T23:20:17.0733176Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.0734644Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0735373Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0744539Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0760558Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0778299Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0794469Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.0810309Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.0825974Z /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)>]’
2025-06-05T23:20:17.0837119Z /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)]’
2025-06-05T23:20:17.0841070Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0842743Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0843749Z    94 |     struct array
2025-06-05T23:20:17.0844179Z       |            ^~~~~
2025-06-05T23:20:17.0845721Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.0847176Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0847894Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0856372Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.0872427Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0888542Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.0903172Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.0918271Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.0934213Z /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)>]’
2025-06-05T23:20:17.0945445Z /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)]’
2025-06-05T23:20:17.0949609Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.0951252Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.0952270Z    94 |     struct array
2025-06-05T23:20:17.0952677Z       |            ^~~~~
2025-06-05T23:20:17.0954223Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.0955738Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.0956449Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.0965677Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.0982394Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.0999827Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1016136Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1031826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1047603Z /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)>]’
2025-06-05T23:20:17.1058481Z /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)]’
2025-06-05T23:20:17.1061813Z /pytorch/executorch/kernels/portable/cpu/op_gt.cpp:34:79:   required from here
2025-06-05T23:20:17.1063497Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.1064526Z    94 |     struct array
2025-06-05T23:20:17.1064874Z       |            ^~~~~
2025-06-05T23:20:17.1066240Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.1067742Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1068439Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1069033Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.1069803Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.1070513Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.1071218Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.1072115Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.1073410Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:17.1074613Z                  from /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:9:
2025-06-05T23:20:17.1081429Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1092745Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1099719Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1105906Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1112324Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1118840Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1124828Z /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)]’
2025-06-05T23:20:17.1128653Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1130278Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1131272Z    94 |     struct array
2025-06-05T23:20:17.1131720Z       |            ^~~~~
2025-06-05T23:20:17.1133319Z /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]’
2025-06-05T23:20:17.1134180Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1134564Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1138640Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1146095Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1153420Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1160151Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1170691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1178989Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1185574Z /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)]’
2025-06-05T23:20:17.1188384Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1189573Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1190205Z    94 |     struct array
2025-06-05T23:20:17.1190458Z       |            ^~~~~
2025-06-05T23:20:17.1191412Z /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]’
2025-06-05T23:20:17.1192311Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1192811Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1196911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1204063Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1210932Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1218253Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1225691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1232547Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1237709Z /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)]’
2025-06-05T23:20:17.1239871Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1240752Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1241330Z    94 |     struct array
2025-06-05T23:20:17.1241604Z       |            ^~~~~
2025-06-05T23:20:17.1242581Z /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]’
2025-06-05T23:20:17.1243401Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1243781Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1248384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1259416Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1270519Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1280186Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1287168Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1294586Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1299969Z /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)]’
2025-06-05T23:20:17.1302095Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1303044Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1303654Z    94 |     struct array
2025-06-05T23:20:17.1303966Z       |            ^~~~~
2025-06-05T23:20:17.1305001Z /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]’
2025-06-05T23:20:17.1305942Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1306339Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1310004Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1316930Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1323628Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1329625Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1335794Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1342157Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1347078Z /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)]’
2025-06-05T23:20:17.1349212Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1350178Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1350740Z    94 |     struct array
2025-06-05T23:20:17.1350974Z       |            ^~~~~
2025-06-05T23:20:17.1351834Z /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]’
2025-06-05T23:20:17.1352620Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1353016Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1356804Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1364233Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1372617Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1379589Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1386859Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1398168Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1407609Z /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)]’
2025-06-05T23:20:17.1411538Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1413273Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1414272Z    94 |     struct array
2025-06-05T23:20:17.1414643Z       |            ^~~~~
2025-06-05T23:20:17.1416235Z /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]’
2025-06-05T23:20:17.1417738Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1418452Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1424800Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1437630Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1450153Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1461279Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1472954Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1484598Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1493276Z /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)]’
2025-06-05T23:20:17.1497141Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1498067Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1498605Z    94 |     struct array
2025-06-05T23:20:17.1551349Z       |            ^~~~~
2025-06-05T23:20:17.1552265Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.1553248Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1553654Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1557961Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1571759Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1585699Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1598185Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1607256Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1619580Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1629102Z /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)]’
2025-06-05T23:20:17.1633215Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1634834Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1635825Z    94 |     struct array
2025-06-05T23:20:17.1636238Z       |            ^~~~~
2025-06-05T23:20:17.1637753Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.1639201Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1639914Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1646757Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1659311Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1672703Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1684474Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1696457Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1709432Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1718830Z /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)]’
2025-06-05T23:20:17.1722847Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1724535Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1725570Z    94 |     struct array
2025-06-05T23:20:17.1726000Z       |            ^~~~~
2025-06-05T23:20:17.1727597Z /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]’
2025-06-05T23:20:17.1729060Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1729767Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1737190Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1751119Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1765371Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1778278Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1791080Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1803863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1814157Z /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)]’
2025-06-05T23:20:17.1818300Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1819991Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1820991Z    94 |     struct array
2025-06-05T23:20:17.1821399Z       |            ^~~~~
2025-06-05T23:20:17.1823003Z /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]’
2025-06-05T23:20:17.1824531Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1825230Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1832003Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.1844587Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1857808Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.1869840Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.1881054Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.1893282Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1903002Z /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)]’
2025-06-05T23:20:17.1907147Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.1908905Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.1909916Z    94 |     struct array
2025-06-05T23:20:17.1910341Z       |            ^~~~~
2025-06-05T23:20:17.1911882Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.1913345Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.1914055Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.1921511Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.1935127Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1949081Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.1961924Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.1974536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.1987181Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.1997035Z /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)]’
2025-06-05T23:20:17.2001095Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.2002747Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.2003779Z    94 |     struct array
2025-06-05T23:20:17.2004192Z       |            ^~~~~
2025-06-05T23:20:17.2005845Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.2007304Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2008030Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2014797Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.2027434Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2040563Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2052586Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.2065799Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.2078510Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.2088285Z /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)]’
2025-06-05T23:20:17.2092333Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.2094060Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.2095116Z    94 |     struct array
2025-06-05T23:20:17.2095535Z       |            ^~~~~
2025-06-05T23:20:17.2097131Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.2098571Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2099247Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2106610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.2119688Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2133503Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2146081Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.2157953Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.2170706Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.2180296Z /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)]’
2025-06-05T23:20:17.2184239Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.2185889Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.2186915Z    94 |     struct array
2025-06-05T23:20:17.2187349Z       |            ^~~~~
2025-06-05T23:20:17.2188978Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.2190390Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2191229Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2197137Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.2209385Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2222450Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2233194Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.2245149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.2256832Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.2265673Z /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)]’
2025-06-05T23:20:17.2269356Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.2270784Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.2271661Z    94 |     struct array
2025-06-05T23:20:17.2272005Z       |            ^~~~~
2025-06-05T23:20:17.2273314Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.2274718Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2275347Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2282396Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.2294754Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2308209Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2316183Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.2323082Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.2329934Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.2334971Z /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)]’
2025-06-05T23:20:17.2337173Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:25:21:   required from here
2025-06-05T23:20:17.2338046Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.2338576Z    94 |     struct array
2025-06-05T23:20:17.2338861Z       |            ^~~~~
2025-06-05T23:20:17.2339680Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.2340442Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2340843Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2345453Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.2357760Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2373960Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2385432Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.2399807Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.2415928Z /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)>]’
2025-06-05T23:20:17.2427251Z /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)]’
2025-06-05T23:20:17.2431325Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2433087Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2434083Z    94 |     struct array
2025-06-05T23:20:17.2434529Z       |            ^~~~~
2025-06-05T23:20:17.2436251Z /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]’
2025-06-05T23:20:17.2437873Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2438632Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2447830Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.2464861Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2482771Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2499654Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.2515369Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.2531583Z /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)>]’
2025-06-05T23:20:17.2542998Z /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)]’
2025-06-05T23:20:17.2547006Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2548933Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2550019Z    94 |     struct array
2025-06-05T23:20:17.2550452Z       |            ^~~~~
2025-06-05T23:20:17.2552139Z /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]’
2025-06-05T23:20:17.2553735Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2554456Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2563260Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.2579742Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2596662Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2611933Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.2626886Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.2642853Z /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)>]’
2025-06-05T23:20:17.2654173Z /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)]’
2025-06-05T23:20:17.2658262Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2659973Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2661036Z    94 |     struct array
2025-06-05T23:20:17.2661476Z       |            ^~~~~
2025-06-05T23:20:17.2663117Z /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]’
2025-06-05T23:20:17.2664831Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2665547Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2674779Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.2691821Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2709621Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2726249Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.2742634Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.2758527Z /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)>]’
2025-06-05T23:20:17.2769878Z /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)]’
2025-06-05T23:20:17.2773909Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2775619Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2776793Z    94 |     struct array
2025-06-05T23:20:17.2777258Z       |            ^~~~~
2025-06-05T23:20:17.2778892Z /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]’
2025-06-05T23:20:17.2780417Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2781111Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2789854Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.2805738Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2822674Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.2834381Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.2848371Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.2863886Z /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)>]’
2025-06-05T23:20:17.2874845Z /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)]’
2025-06-05T23:20:17.2878758Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2880451Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2881410Z    94 |     struct array
2025-06-05T23:20:17.2881856Z       |            ^~~~~
2025-06-05T23:20:17.2883392Z /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]’
2025-06-05T23:20:17.2884966Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.2885613Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.2894362Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.2911346Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2929085Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.2945842Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.2961919Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.2977921Z /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)>]’
2025-06-05T23:20:17.2989285Z /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)]’
2025-06-05T23:20:17.2993387Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.2995046Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.2996082Z    94 |     struct array
2025-06-05T23:20:17.2996832Z       |            ^~~~~
2025-06-05T23:20:17.2998443Z /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]’
2025-06-05T23:20:17.3000048Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3000861Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3009445Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.3025326Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3041690Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3056209Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.3071398Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.3087978Z /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)>]’
2025-06-05T23:20:17.3099796Z /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)]’
2025-06-05T23:20:17.3103941Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3105532Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3106530Z    94 |     struct array
2025-06-05T23:20:17.3106938Z       |            ^~~~~
2025-06-05T23:20:17.3108554Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.3109988Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3110674Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3119840Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.3136549Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3154149Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3170590Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.3186392Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.3202456Z /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)>]’
2025-06-05T23:20:17.3213787Z /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)]’
2025-06-05T23:20:17.3217753Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3219357Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3220456Z    94 |     struct array
2025-06-05T23:20:17.3220873Z       |            ^~~~~
2025-06-05T23:20:17.3222367Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.3223788Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3224495Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3233414Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.3248932Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3265235Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3281239Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.3295683Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.3311312Z /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)>]’
2025-06-05T23:20:17.3322800Z /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)]’
2025-06-05T23:20:17.3326896Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3328525Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3329537Z    94 |     struct array
2025-06-05T23:20:17.3329985Z       |            ^~~~~
2025-06-05T23:20:17.3331637Z /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]’
2025-06-05T23:20:17.3333140Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3333854Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3342910Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.3359581Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3377390Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3394086Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.3409726Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.3425507Z /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)>]’
2025-06-05T23:20:17.3436947Z /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)]’
2025-06-05T23:20:17.3440950Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3442755Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3443720Z    94 |     struct array
2025-06-05T23:20:17.3444147Z       |            ^~~~~
2025-06-05T23:20:17.3445776Z /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]’
2025-06-05T23:20:17.3447281Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3448001Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3456680Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.3472556Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3489235Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3504173Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.3519528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.3535413Z /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)>]’
2025-06-05T23:20:17.3546689Z /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)]’
2025-06-05T23:20:17.3550800Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3552482Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3553481Z    94 |     struct array
2025-06-05T23:20:17.3553915Z       |            ^~~~~
2025-06-05T23:20:17.3555425Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.3556818Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3557545Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3566563Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.3583379Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3600547Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3616988Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.3632750Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.3648536Z /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)>]’
2025-06-05T23:20:17.3659722Z /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)]’
2025-06-05T23:20:17.3663964Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3665654Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3666624Z    94 |     struct array
2025-06-05T23:20:17.3667046Z       |            ^~~~~
2025-06-05T23:20:17.3668529Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.3669975Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3670694Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3679158Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.3694998Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3711780Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3724187Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.3735176Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.3748957Z /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)>]’
2025-06-05T23:20:17.3759098Z /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)]’
2025-06-05T23:20:17.3762671Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3764415Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3765257Z    94 |     struct array
2025-06-05T23:20:17.3765650Z       |            ^~~~~
2025-06-05T23:20:17.3767139Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.3768552Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3769189Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3778139Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.3794768Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3812398Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.3828417Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.3842745Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.3855423Z /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)>]’
2025-06-05T23:20:17.3866658Z /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)]’
2025-06-05T23:20:17.3870666Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3872307Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3873294Z    94 |     struct array
2025-06-05T23:20:17.3873688Z       |            ^~~~~
2025-06-05T23:20:17.3875241Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.3876721Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3877410Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3886049Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.3901765Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3918010Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.3933194Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.3948529Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.3964548Z /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)>]’
2025-06-05T23:20:17.3975757Z /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)]’
2025-06-05T23:20:17.3979827Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.3981485Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.3982455Z    94 |     struct array
2025-06-05T23:20:17.3982597Z       |            ^~~~~
2025-06-05T23:20:17.3983858Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.3984196Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.3984567Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.3993284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4002908Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4012886Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4020999Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4029189Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4037689Z /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)>]’
2025-06-05T23:20:17.4041866Z /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)]’
2025-06-05T23:20:17.4042382Z /pytorch/executorch/kernels/portable/cpu/op_ge.cpp:36:21:   required from here
2025-06-05T23:20:17.4043293Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.4043455Z    94 |     struct array
2025-06-05T23:20:17.4043595Z       |            ^~~~~
2025-06-05T23:20:17.4044949Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.4045287Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4045462Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4046248Z [ 62%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_le.cpp.o
2025-06-05T23:20:17.4047133Z [ 63%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_leaky_relu.cpp.o
2025-06-05T23:20:17.4048058Z [ 63%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_lift_fresh_copy.cpp.o
2025-06-05T23:20:17.4049052Z [ 63%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_linear_scratch_example.cpp.o
2025-06-05T23:20:17.4049861Z [ 63%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_log.cpp.o
2025-06-05T23:20:17.4050685Z [ 64%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_log10.cpp.o
2025-06-05T23:20:17.4051512Z [ 64%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_log1p.cpp.o
2025-06-05T23:20:17.4052410Z [ 65%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_log_softmax.cpp.o
2025-06-05T23:20:17.4053215Z [ 65%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_log2.cpp.o
2025-06-05T23:20:17.4053449Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.4053669Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.4053964Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.4054165Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.4054659Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.4055248Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:17.4055586Z                  from /pytorch/executorch/kernels/portable/cpu/op_le.cpp:9:
2025-06-05T23:20:17.4062252Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4070009Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4077061Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4083159Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4090178Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4096872Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4100987Z /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)]’
2025-06-05T23:20:17.4101531Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4102508Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4102659Z    94 |     struct array
2025-06-05T23:20:17.4102814Z       |            ^~~~~
2025-06-05T23:20:17.4104229Z /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]’
2025-06-05T23:20:17.4104547Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4104790Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4111855Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4119645Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4127302Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4133900Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4141102Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4147724Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4151848Z /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)]’
2025-06-05T23:20:17.4152367Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4153339Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4153491Z    94 |     struct array
2025-06-05T23:20:17.4153626Z       |            ^~~~~
2025-06-05T23:20:17.4155073Z /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]’
2025-06-05T23:20:17.4155390Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4155582Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4162101Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4169399Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4176507Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4182888Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4190008Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4196138Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4199756Z /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)]’
2025-06-05T23:20:17.4200331Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4201178Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4201332Z    94 |     struct array
2025-06-05T23:20:17.4201469Z       |            ^~~~~
2025-06-05T23:20:17.4202673Z /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]’
2025-06-05T23:20:17.4202940Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4203093Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4209831Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4217327Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4224510Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4230837Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4237657Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4244031Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4247993Z /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)]’
2025-06-05T23:20:17.4248519Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4249531Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4249682Z    94 |     struct array
2025-06-05T23:20:17.4249816Z       |            ^~~~~
2025-06-05T23:20:17.4251252Z /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]’
2025-06-05T23:20:17.4251626Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4251807Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4257963Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4264940Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4271935Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4277771Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4284673Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4290693Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4294788Z /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)]’
2025-06-05T23:20:17.4295393Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4296330Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4296497Z    94 |     struct array
2025-06-05T23:20:17.4296641Z       |            ^~~~~
2025-06-05T23:20:17.4297969Z /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]’
2025-06-05T23:20:17.4298278Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4298450Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4305214Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4312900Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4319859Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4325792Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4332180Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4338175Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4341533Z /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)]’
2025-06-05T23:20:17.4341944Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4342633Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4342752Z    94 |     struct array
2025-06-05T23:20:17.4342872Z       |            ^~~~~
2025-06-05T23:20:17.4343889Z /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]’
2025-06-05T23:20:17.4344141Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4344297Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4348820Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4353906Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4359201Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4364525Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4371805Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4378469Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4382789Z /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)]’
2025-06-05T23:20:17.4383317Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4384317Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4384493Z    94 |     struct array
2025-06-05T23:20:17.4384637Z       |            ^~~~~
2025-06-05T23:20:17.4385867Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.4386187Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4386379Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4393289Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4400893Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4408375Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4414601Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4421672Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4428309Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4432207Z /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)]’
2025-06-05T23:20:17.4432742Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4433614Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4433770Z    94 |     struct array
2025-06-05T23:20:17.4433926Z       |            ^~~~~
2025-06-05T23:20:17.4435150Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.4435457Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4435658Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4442072Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4449024Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4455976Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4462255Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4469683Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4476395Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4480518Z /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)]’
2025-06-05T23:20:17.4481036Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4481968Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4482121Z    94 |     struct array
2025-06-05T23:20:17.4482255Z       |            ^~~~~
2025-06-05T23:20:17.4483517Z /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]’
2025-06-05T23:20:17.4483938Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4484130Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4491093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4498945Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4506404Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4512982Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4519904Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4526464Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4530544Z /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)]’
2025-06-05T23:20:17.4531130Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4532054Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4532209Z    94 |     struct array
2025-06-05T23:20:17.4532363Z       |            ^~~~~
2025-06-05T23:20:17.4533673Z /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]’
2025-06-05T23:20:17.4533997Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4534201Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4540546Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4547673Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4554462Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4560314Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4567467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4573989Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4578028Z /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)]’
2025-06-05T23:20:17.4578559Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4579476Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4579628Z    94 |     struct array
2025-06-05T23:20:17.4579775Z       |            ^~~~~
2025-06-05T23:20:17.4581043Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.4581353Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4581536Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4588361Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4596127Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4603513Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4609952Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4616917Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4623503Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4627638Z /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)]’
2025-06-05T23:20:17.4628296Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4629212Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4629384Z    94 |     struct array
2025-06-05T23:20:17.4629523Z       |            ^~~~~
2025-06-05T23:20:17.4630800Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.4631114Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4631320Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4637666Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4644801Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4651641Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4658080Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4664504Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4670746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4675061Z /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)]’
2025-06-05T23:20:17.4675582Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4676526Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4676687Z    94 |     struct array
2025-06-05T23:20:17.4676828Z       |            ^~~~~
2025-06-05T23:20:17.4678145Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.4678449Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4678628Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4685376Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4692945Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4700609Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4706911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4713843Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4719713Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4723941Z /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)]’
2025-06-05T23:20:17.4724450Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4725363Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4725542Z    94 |     struct array
2025-06-05T23:20:17.4725738Z       |            ^~~~~
2025-06-05T23:20:17.4727060Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.4727388Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4727576Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4733852Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4740896Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4747902Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4753634Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4760734Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4766777Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4770797Z /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)]’
2025-06-05T23:20:17.4771432Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4772363Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4772516Z    94 |     struct array
2025-06-05T23:20:17.4772652Z       |            ^~~~~
2025-06-05T23:20:17.4773913Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.4774237Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4774431Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4781282Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4789085Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4796651Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4803027Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4810090Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4816658Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.4820748Z /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)]’
2025-06-05T23:20:17.4821568Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:25:21:   required from here
2025-06-05T23:20:17.4822498Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.4822660Z    94 |     struct array
2025-06-05T23:20:17.4822799Z       |            ^~~~~
2025-06-05T23:20:17.4823988Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.4824319Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4824513Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4833070Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4842210Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4850997Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4858787Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4868018Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4876543Z /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)>]’
2025-06-05T23:20:17.4880747Z /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)]’
2025-06-05T23:20:17.4881272Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.4882174Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.4882356Z    94 |     struct array
2025-06-05T23:20:17.4882500Z       |            ^~~~~
2025-06-05T23:20:17.4883791Z /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]’
2025-06-05T23:20:17.4884124Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4884323Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4892652Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.4902537Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4911975Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.4920369Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.4929351Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.4937760Z /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)>]’
2025-06-05T23:20:17.4941965Z /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)]’
2025-06-05T23:20:17.4942478Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.4943495Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.4943705Z    94 |     struct array
2025-06-05T23:20:17.4943847Z       |            ^~~~~
2025-06-05T23:20:17.4945268Z /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]’
2025-06-05T23:20:17.4945584Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.4945772Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.4953482Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.4962254Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4971216Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.4978845Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.4987797Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.4996212Z /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)>]’
2025-06-05T23:20:17.5000359Z /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)]’
2025-06-05T23:20:17.5000902Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5001864Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5002023Z    94 |     struct array
2025-06-05T23:20:17.5002171Z       |            ^~~~~
2025-06-05T23:20:17.5003563Z /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]’
2025-06-05T23:20:17.5003877Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5004123Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5012783Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5022347Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5031694Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5040016Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5048838Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5057221Z /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)>]’
2025-06-05T23:20:17.5061376Z /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)]’
2025-06-05T23:20:17.5061952Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5062958Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5063111Z    94 |     struct array
2025-06-05T23:20:17.5063262Z       |            ^~~~~
2025-06-05T23:20:17.5064654Z /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]’
2025-06-05T23:20:17.5064971Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5065171Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5073437Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5082451Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5091766Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5099457Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5108284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5116713Z /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)>]’
2025-06-05T23:20:17.5120816Z /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)]’
2025-06-05T23:20:17.5121335Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5122268Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5122432Z    94 |     struct array
2025-06-05T23:20:17.5122565Z       |            ^~~~~
2025-06-05T23:20:17.5123913Z /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]’
2025-06-05T23:20:17.5124230Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5124419Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5132969Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5142647Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5151947Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5160201Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5169109Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5177682Z /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)>]’
2025-06-05T23:20:17.5181703Z /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)]’
2025-06-05T23:20:17.5182312Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5183303Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5183458Z    94 |     struct array
2025-06-05T23:20:17.5183596Z       |            ^~~~~
2025-06-05T23:20:17.5184928Z /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]’
2025-06-05T23:20:17.5185250Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5185440Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5193579Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5201834Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5209162Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5213105Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5217563Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5222102Z /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)>]’
2025-06-05T23:20:17.5224233Z /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)]’
2025-06-05T23:20:17.5224506Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5225013Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5225103Z    94 |     struct array
2025-06-05T23:20:17.5225185Z       |            ^~~~~
2025-06-05T23:20:17.5225826Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.5226012Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5226166Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5230661Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5235435Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5240189Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5244419Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5248924Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5253161Z /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)>]’
2025-06-05T23:20:17.5255298Z /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)]’
2025-06-05T23:20:17.5255584Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5256049Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5256136Z    94 |     struct array
2025-06-05T23:20:17.5256216Z       |            ^~~~~
2025-06-05T23:20:17.5256866Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.5257044Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5257163Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5261361Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5266440Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5270972Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5275007Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5279523Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5283842Z /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)>]’
2025-06-05T23:20:17.5285914Z /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)]’
2025-06-05T23:20:17.5286201Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5286686Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5286775Z    94 |     struct array
2025-06-05T23:20:17.5286870Z       |            ^~~~~
2025-06-05T23:20:17.5287554Z /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]’
2025-06-05T23:20:17.5287734Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5287904Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5292346Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5297213Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5302113Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5306308Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5311137Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5315607Z /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)>]’
2025-06-05T23:20:17.5317714Z /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)]’
2025-06-05T23:20:17.5317998Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5318482Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5318577Z    94 |     struct array
2025-06-05T23:20:17.5318675Z       |            ^~~~~
2025-06-05T23:20:17.5319358Z /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]’
2025-06-05T23:20:17.5319529Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5319647Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5323816Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5328342Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5332774Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5336667Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5341165Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5345434Z /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)>]’
2025-06-05T23:20:17.5347539Z /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)]’
2025-06-05T23:20:17.5347898Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5348375Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5348506Z    94 |     struct array
2025-06-05T23:20:17.5348585Z       |            ^~~~~
2025-06-05T23:20:17.5349248Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.5349433Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5349539Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5353953Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5358782Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5363517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5367848Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5372369Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5376641Z /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)>]’
2025-06-05T23:20:17.5378757Z /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)]’
2025-06-05T23:20:17.5379026Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5379509Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5379599Z    94 |     struct array
2025-06-05T23:20:17.5379679Z       |            ^~~~~
2025-06-05T23:20:17.5380328Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.5380549Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5380657Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5384793Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5389464Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5393912Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5397802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5402413Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5406719Z /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)>]’
2025-06-05T23:20:17.5408838Z /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)]’
2025-06-05T23:20:17.5409107Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5409598Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5409691Z    94 |     struct array
2025-06-05T23:20:17.5409771Z       |            ^~~~~
2025-06-05T23:20:17.5410445Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.5410621Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5410729Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5415168Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5419994Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5424781Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5429054Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5433560Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5437815Z /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)>]’
2025-06-05T23:20:17.5439914Z /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)]’
2025-06-05T23:20:17.5440253Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5440730Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5440818Z    94 |     struct array
2025-06-05T23:20:17.5440904Z       |            ^~~~~
2025-06-05T23:20:17.5441578Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.5441749Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5441855Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5445978Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5450530Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5454921Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5458864Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5463352Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5468421Z /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)>]’
2025-06-05T23:20:17.5470520Z /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)]’
2025-06-05T23:20:17.5470849Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5471322Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5471410Z    94 |     struct array
2025-06-05T23:20:17.5471501Z       |            ^~~~~
2025-06-05T23:20:17.5472151Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.5472321Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5472428Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5476881Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5481723Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5486448Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5491012Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5495776Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5500552Z /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)>]’
2025-06-05T23:20:17.5503044Z /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)]’
2025-06-05T23:20:17.5503380Z /pytorch/executorch/kernels/portable/cpu/op_le.cpp:36:21:   required from here
2025-06-05T23:20:17.5504078Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.5504172Z    94 |     struct array
2025-06-05T23:20:17.5504265Z       |            ^~~~~
2025-06-05T23:20:17.5505000Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.5505264Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5505514Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5506207Z [ 65%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_logical_and.cpp.o
2025-06-05T23:20:17.5507094Z [ 65%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_logical_not.cpp.o
2025-06-05T23:20:17.5508042Z [ 66%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_logical_or.cpp.o
2025-06-05T23:20:17.5508700Z [ 66%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_logical_xor.cpp.o
2025-06-05T23:20:17.5509126Z [ 66%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_logit.cpp.o
2025-06-05T23:20:17.5509545Z [ 67%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_lt.cpp.o
2025-06-05T23:20:17.5509996Z [ 67%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_masked_fill.cpp.o
2025-06-05T23:20:17.5510464Z [ 67%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_masked_scatter.cpp.o
2025-06-05T23:20:17.5511022Z [ 68%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_masked_select.cpp.o
2025-06-05T23:20:17.5511158Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.5511276Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.5511453Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.5511566Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.5511824Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:17.5512118Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:17.5512410Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:20:17.5512633Z                  from /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:9:
2025-06-05T23:20:17.5516515Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5520120Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5523592Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5526570Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5530143Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5533429Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5535415Z /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)]’
2025-06-05T23:20:17.5535733Z /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:31:75:   required from here
2025-06-05T23:20:17.5536208Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5536296Z    94 |     struct array
2025-06-05T23:20:17.5536388Z       |            ^~~~~
2025-06-05T23:20:17.5537037Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5537212Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5537335Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5540832Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5544872Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5548740Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5552001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5555532Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5558780Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5560802Z /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)]’
2025-06-05T23:20:17.5561108Z /pytorch/executorch/kernels/portable/cpu/op_logical_and.cpp:31:75:   required from here
2025-06-05T23:20:17.5561644Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5561733Z    94 |     struct array
2025-06-05T23:20:17.5561812Z       |            ^~~~~
2025-06-05T23:20:17.5562458Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5562645Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5562753Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5563174Z [ 68%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_max.cpp.o
2025-06-05T23:20:17.5563871Z [ 68%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_max_pool2d_with_indices.cpp.o
2025-06-05T23:20:17.5564016Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.5564135Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.5564316Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.5564431Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.5564692Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:17.5565068Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:17.5565353Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:20:17.5565573Z                  from /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:9:
2025-06-05T23:20:17.5568803Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5572353Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5575937Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5578956Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5582510Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5585775Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5587836Z /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)]’
2025-06-05T23:20:17.5588155Z /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:31:75:   required from here
2025-06-05T23:20:17.5588627Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5588750Z    94 |     struct array
2025-06-05T23:20:17.5588846Z       |            ^~~~~
2025-06-05T23:20:17.5589497Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5589671Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5589796Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5593302Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5597206Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5600990Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5604284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5608523Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5620238Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5629499Z /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)]’
2025-06-05T23:20:17.5633231Z /pytorch/executorch/kernels/portable/cpu/op_logical_xor.cpp:31:75:   required from here
2025-06-05T23:20:17.5634880Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5635838Z    94 |     struct array
2025-06-05T23:20:17.5636215Z       |            ^~~~~
2025-06-05T23:20:17.5637600Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5638901Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5639285Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5640594Z [ 69%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_max_pool2d_with_indices_backward.cpp.o
2025-06-05T23:20:17.5641596Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.5642122Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.5642914Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.5643309Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.5643797Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:17.5644462Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:17.5645165Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/logical_op.h:9,
2025-06-05T23:20:17.5645787Z                  from /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:9:
2025-06-05T23:20:17.5649355Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5655733Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5662222Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5668348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5674486Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5680739Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5685562Z /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)]’
2025-06-05T23:20:17.5687606Z /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:31:74:   required from here
2025-06-05T23:20:17.5688500Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5689030Z    94 |     struct array
2025-06-05T23:20:17.5689272Z       |            ^~~~~
2025-06-05T23:20:17.5690058Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5690819Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5691219Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5694961Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5701841Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5709429Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5716098Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5722383Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5728701Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)]’
2025-06-05T23:20:17.5733438Z /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)]’
2025-06-05T23:20:17.5735438Z /pytorch/executorch/kernels/portable/cpu/op_logical_or.cpp:31:74:   required from here
2025-06-05T23:20:17.5736319Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5736872Z    94 |     struct array
2025-06-05T23:20:17.5737111Z       |            ^~~~~
2025-06-05T23:20:17.5737902Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.5738641Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5739032Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5739697Z [ 69%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_maximum.cpp.o
2025-06-05T23:20:17.5740594Z [ 69%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_mean.cpp.o
2025-06-05T23:20:17.5741167Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.5741533Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.5741925Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.5742304Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.5742790Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.5743449Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:17.5744051Z                  from /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:9:
2025-06-05T23:20:17.5747785Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5754303Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5765843Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5776658Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5783463Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5790024Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.5795664Z /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)]’
2025-06-05T23:20:17.5797814Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.5798806Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5799443Z    94 |     struct array
2025-06-05T23:20:17.5799688Z       |            ^~~~~
2025-06-05T23:20:17.5800632Z /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]’
2025-06-05T23:20:17.5801509Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5801902Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5805953Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5813517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5821069Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5827973Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5834599Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5841964Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.5847105Z /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)]’
2025-06-05T23:20:17.5849188Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.5850161Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5850778Z    94 |     struct array
2025-06-05T23:20:17.5851025Z       |            ^~~~~
2025-06-05T23:20:17.5851924Z /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]’
2025-06-05T23:20:17.5852740Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5853133Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5856650Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5864651Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5871938Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5878210Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5884515Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5891415Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.5898184Z /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)]’
2025-06-05T23:20:17.5900239Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.5901162Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5901841Z    94 |     struct array
2025-06-05T23:20:17.5902308Z       |            ^~~~~
2025-06-05T23:20:17.5903478Z /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]’
2025-06-05T23:20:17.5904298Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5904679Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5908564Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.5915681Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5922775Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.5929281Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.5935646Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.5941990Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.5946849Z /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)]’
2025-06-05T23:20:17.5948983Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.5949869Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5950422Z    94 |     struct array
2025-06-05T23:20:17.5950667Z       |            ^~~~~
2025-06-05T23:20:17.5951539Z /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]’
2025-06-05T23:20:17.5952339Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.5952735Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.5956390Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.5962852Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5969645Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.5975574Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.5981606Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.5988001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.5992880Z /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)]’
2025-06-05T23:20:17.5994925Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.5995781Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.5996331Z    94 |     struct array
2025-06-05T23:20:17.6006790Z       |            ^~~~~
2025-06-05T23:20:17.6007798Z /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]’
2025-06-05T23:20:17.6008610Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6009134Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6013115Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6020753Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6030620Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6037058Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6043498Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6051237Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6056077Z /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)]’
2025-06-05T23:20:17.6058173Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6059064Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6059613Z    94 |     struct array
2025-06-05T23:20:17.6059862Z       |            ^~~~~
2025-06-05T23:20:17.6060702Z /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]’
2025-06-05T23:20:17.6061530Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6061931Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6065501Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6071825Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6078267Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6084081Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6090053Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6096259Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6101037Z /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)]’
2025-06-05T23:20:17.6103067Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6103916Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6104445Z    94 |     struct array
2025-06-05T23:20:17.6104675Z       |            ^~~~~
2025-06-05T23:20:17.6105462Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.6106198Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6106591Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6110386Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6117343Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6124310Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6130624Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6136772Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6142967Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6147832Z /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)]’
2025-06-05T23:20:17.6149864Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6150701Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6151238Z    94 |     struct array
2025-06-05T23:20:17.6151467Z       |            ^~~~~
2025-06-05T23:20:17.6152254Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.6153040Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6153427Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6156872Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6163226Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6169899Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6175840Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6181914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6188296Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6193145Z /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)]’
2025-06-05T23:20:17.6195181Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6196042Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6196580Z    94 |     struct array
2025-06-05T23:20:17.6196824Z       |            ^~~~~
2025-06-05T23:20:17.6197650Z /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]’
2025-06-05T23:20:17.6198448Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6198841Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6202581Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6209457Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6218735Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6225288Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6231610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6237853Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6242745Z /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)]’
2025-06-05T23:20:17.6244782Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6245638Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6246193Z    94 |     struct array
2025-06-05T23:20:17.6246427Z       |            ^~~~~
2025-06-05T23:20:17.6247261Z /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]’
2025-06-05T23:20:17.6248043Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6248437Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6251903Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6258196Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6265023Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6271027Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6277042Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6283284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6288078Z /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)]’
2025-06-05T23:20:17.6290142Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6290987Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6291530Z    94 |     struct array
2025-06-05T23:20:17.6291772Z       |            ^~~~~
2025-06-05T23:20:17.6292563Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.6293328Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6293709Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6297422Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6304240Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6311318Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6317705Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6323961Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6330202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6335009Z /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)]’
2025-06-05T23:20:17.6337083Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6337938Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6338467Z    94 |     struct array
2025-06-05T23:20:17.6338711Z       |            ^~~~~
2025-06-05T23:20:17.6339516Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.6340267Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6340661Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6344128Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6350480Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6357019Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6362863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6369142Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6375414Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6380259Z /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)]’
2025-06-05T23:20:17.6382282Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6383164Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6383712Z    94 |     struct array
2025-06-05T23:20:17.6383944Z       |            ^~~~~
2025-06-05T23:20:17.6384771Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.6385528Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6385925Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6389708Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6396571Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6403613Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6410009Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6416248Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6422503Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6427317Z /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)]’
2025-06-05T23:20:17.6429402Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6430264Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6430800Z    94 |     struct array
2025-06-05T23:20:17.6431070Z       |            ^~~~~
2025-06-05T23:20:17.6431899Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.6432665Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6433055Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6436937Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6444418Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6450906Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6456694Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6462679Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6469229Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6474083Z /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)]’
2025-06-05T23:20:17.6476169Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6477034Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6477565Z    94 |     struct array
2025-06-05T23:20:17.6477808Z       |            ^~~~~
2025-06-05T23:20:17.6478606Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.6479403Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6479793Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6483511Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6490298Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6497337Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6503730Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6510166Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6516389Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.6521193Z /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)]’
2025-06-05T23:20:17.6523235Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:24:76:   required from here
2025-06-05T23:20:17.6524082Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.6524623Z    94 |     struct array
2025-06-05T23:20:17.6524853Z       |            ^~~~~
2025-06-05T23:20:17.6525647Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.6526397Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6526780Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6531242Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6539403Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6547955Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6555573Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6563359Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6571803Z /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)>]’
2025-06-05T23:20:17.6577440Z /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)]’
2025-06-05T23:20:17.6579506Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6580390Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6580965Z    94 |     struct array
2025-06-05T23:20:17.6581194Z       |            ^~~~~
2025-06-05T23:20:17.6582078Z /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]’
2025-06-05T23:20:17.6582902Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6583285Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6588021Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6596614Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6605607Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6613991Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6621952Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6630048Z /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)>]’
2025-06-05T23:20:17.6635719Z /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)]’
2025-06-05T23:20:17.6637750Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6638656Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6639216Z    94 |     struct array
2025-06-05T23:20:17.6639461Z       |            ^~~~~
2025-06-05T23:20:17.6640370Z /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]’
2025-06-05T23:20:17.6641212Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6641617Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6646043Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6654121Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6662545Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6670419Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6678340Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6686409Z /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)>]’
2025-06-05T23:20:17.6692055Z /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)]’
2025-06-05T23:20:17.6694087Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6694968Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6695519Z    94 |     struct array
2025-06-05T23:20:17.6695764Z       |            ^~~~~
2025-06-05T23:20:17.6696621Z /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]’
2025-06-05T23:20:17.6697431Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6697831Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6702492Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6711117Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6720066Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6728328Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6736297Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6744392Z /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)>]’
2025-06-05T23:20:17.6750098Z /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)]’
2025-06-05T23:20:17.6752120Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6753003Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6753552Z    94 |     struct array
2025-06-05T23:20:17.6753796Z       |            ^~~~~
2025-06-05T23:20:17.6754653Z /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]’
2025-06-05T23:20:17.6755470Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6755869Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6760217Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6768539Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6776990Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6784531Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6792258Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6800200Z /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)>]’
2025-06-05T23:20:17.6805843Z /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)]’
2025-06-05T23:20:17.6807865Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6808736Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6809283Z    94 |     struct array
2025-06-05T23:20:17.6809554Z       |            ^~~~~
2025-06-05T23:20:17.6810416Z /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]’
2025-06-05T23:20:17.6811217Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6811600Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6816227Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6824728Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6833651Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6841965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6849888Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6857837Z /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)>]’
2025-06-05T23:20:17.6863435Z /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)]’
2025-06-05T23:20:17.6865678Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6866565Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6867108Z    94 |     struct array
2025-06-05T23:20:17.6867351Z       |            ^~~~~
2025-06-05T23:20:17.6868257Z /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]’
2025-06-05T23:20:17.6869050Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6869429Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6873781Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6881743Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6889820Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.6897245Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.6904911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.6913402Z /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)>]’
2025-06-05T23:20:17.6919036Z /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)]’
2025-06-05T23:20:17.6921067Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6921915Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6922442Z    94 |     struct array
2025-06-05T23:20:17.6922685Z       |            ^~~~~
2025-06-05T23:20:17.6923461Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.6924211Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6924606Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6929228Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.6937714Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6946635Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.6954904Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.6962780Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.6971136Z /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)>]’
2025-06-05T23:20:17.6976819Z /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)]’
2025-06-05T23:20:17.6978855Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.6979701Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.6980226Z    94 |     struct array
2025-06-05T23:20:17.6980472Z       |            ^~~~~
2025-06-05T23:20:17.6981287Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.6982039Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.6982423Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.6986766Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.6994822Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7005485Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7013267Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7020916Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7028960Z /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)>]’
2025-06-05T23:20:17.7034568Z /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)]’
2025-06-05T23:20:17.7036673Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7037588Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7038146Z    94 |     struct array
2025-06-05T23:20:17.7038390Z       |            ^~~~~
2025-06-05T23:20:17.7039214Z /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]’
2025-06-05T23:20:17.7039994Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7040376Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7045023Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7053473Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7062322Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7070911Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7078939Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7086893Z /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)>]’
2025-06-05T23:20:17.7092516Z /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)]’
2025-06-05T23:20:17.7094556Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7095414Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7095973Z    94 |     struct array
2025-06-05T23:20:17.7096204Z       |            ^~~~~
2025-06-05T23:20:17.7097043Z /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]’
2025-06-05T23:20:17.7097881Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7098266Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7102627Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7110738Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7118857Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7126361Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7134067Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7142013Z /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)>]’
2025-06-05T23:20:17.7147694Z /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)]’
2025-06-05T23:20:17.7149730Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7150584Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7151114Z    94 |     struct array
2025-06-05T23:20:17.7151359Z       |            ^~~~~
2025-06-05T23:20:17.7152153Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.7152913Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7153297Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7157906Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7166625Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7175537Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7183745Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7191700Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7199687Z /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)>]’
2025-06-05T23:20:17.7205308Z /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)]’
2025-06-05T23:20:17.7207331Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7208201Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7208749Z    94 |     struct array
2025-06-05T23:20:17.7208990Z       |            ^~~~~
2025-06-05T23:20:17.7209776Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.7210537Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7210918Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7215265Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7223254Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7231684Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7239296Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7246961Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7254891Z /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)>]’
2025-06-05T23:20:17.7260533Z /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)]’
2025-06-05T23:20:17.7262578Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7263437Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7264107Z    94 |     struct array
2025-06-05T23:20:17.7264352Z       |            ^~~~~
2025-06-05T23:20:17.7265160Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.7265942Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7266346Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7271098Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7279648Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7288520Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7296836Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7304733Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7312771Z /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)>]’
2025-06-05T23:20:17.7318343Z /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)]’
2025-06-05T23:20:17.7320381Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7321244Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7321782Z    94 |     struct array
2025-06-05T23:20:17.7322078Z       |            ^~~~~
2025-06-05T23:20:17.7322887Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.7323661Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7324100Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7328429Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7336501Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7344687Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7352231Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7359927Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7368099Z /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)>]’
2025-06-05T23:20:17.7373707Z /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)]’
2025-06-05T23:20:17.7375743Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7376593Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7377119Z    94 |     struct array
2025-06-05T23:20:17.7377364Z       |            ^~~~~
2025-06-05T23:20:17.7378153Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.7378907Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7379300Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7383901Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7392560Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7401380Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7409581Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7417455Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7425407Z /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)>]’
2025-06-05T23:20:17.7431123Z /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)]’
2025-06-05T23:20:17.7433138Z /pytorch/executorch/kernels/portable/cpu/op_lt.cpp:34:76:   required from here
2025-06-05T23:20:17.7434006Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.7434586Z    94 |     struct array
2025-06-05T23:20:17.7434830Z       |            ^~~~~
2025-06-05T23:20:17.7435669Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.7435865Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7435973Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7436399Z [ 69%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_min.cpp.o
2025-06-05T23:20:17.7436854Z [ 70%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_minimum.cpp.o
2025-06-05T23:20:17.7437261Z [ 70%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_mm.cpp.o
2025-06-05T23:20:17.7437670Z [ 70%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_mul.cpp.o
2025-06-05T23:20:17.7438141Z [ 71%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_narrow_copy.cpp.o
2025-06-05T23:20:17.7438623Z [ 71%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_native_batch_norm.cpp.o
2025-06-05T23:20:17.7438760Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.7438890Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.7439050Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.7439165Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.7439424Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.7439639Z                  from /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:9:
2025-06-05T23:20:17.7444094Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7448973Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7453657Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7457806Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7462523Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7467206Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7467518Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7468120Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7468209Z    94 |     struct array
2025-06-05T23:20:17.7468303Z       |            ^~~~~
2025-06-05T23:20:17.7469044Z /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]’
2025-06-05T23:20:17.7469219Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7469342Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7474007Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7479096Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7484111Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7488508Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7493221Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7497716Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7498059Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7498566Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7498653Z    94 |     struct array
2025-06-05T23:20:17.7498738Z       |            ^~~~~
2025-06-05T23:20:17.7499490Z /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]’
2025-06-05T23:20:17.7499662Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7499800Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7504299Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7509161Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7513999Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7518207Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7523063Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7527506Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7527800Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7528313Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7528439Z    94 |     struct array
2025-06-05T23:20:17.7528521Z       |            ^~~~~
2025-06-05T23:20:17.7529250Z /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]’
2025-06-05T23:20:17.7529449Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7529585Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7534243Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7539441Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7544384Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7548853Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7553618Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7558032Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7558328Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7558828Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7558928Z    94 |     struct array
2025-06-05T23:20:17.7559006Z       |            ^~~~~
2025-06-05T23:20:17.7559717Z /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]’
2025-06-05T23:20:17.7559904Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7560010Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7564610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7569439Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7574087Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7578182Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7582899Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7587332Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7587709Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7588230Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7588332Z    94 |     struct array
2025-06-05T23:20:17.7588413Z       |            ^~~~~
2025-06-05T23:20:17.7589107Z /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]’
2025-06-05T23:20:17.7589283Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7589403Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7594440Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7599509Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7604475Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7608865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7613540Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7617962Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7618312Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7618800Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7618888Z    94 |     struct array
2025-06-05T23:20:17.7618983Z       |            ^~~~~
2025-06-05T23:20:17.7619673Z /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]’
2025-06-05T23:20:17.7619850Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7619968Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7624310Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7629088Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7633693Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7637939Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7642705Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7647078Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7647372Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7647853Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7647941Z    94 |     struct array
2025-06-05T23:20:17.7648020Z       |            ^~~~~
2025-06-05T23:20:17.7648672Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.7648845Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7648952Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7653612Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7658666Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7663539Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7668136Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7672915Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7677493Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7677793Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7678279Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7678368Z    94 |     struct array
2025-06-05T23:20:17.7678448Z       |            ^~~~~
2025-06-05T23:20:17.7679102Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.7679279Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7679389Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7683761Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7688608Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7693320Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7697413Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7702104Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7706548Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7706901Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7707389Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7707491Z    94 |     struct array
2025-06-05T23:20:17.7707637Z       |            ^~~~~
2025-06-05T23:20:17.7708336Z /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]’
2025-06-05T23:20:17.7708525Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7708634Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7713328Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7718353Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7723278Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7729691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7734472Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7738895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7739288Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7739833Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7739933Z    94 |     struct array
2025-06-05T23:20:17.7740012Z       |            ^~~~~
2025-06-05T23:20:17.7740828Z /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]’
2025-06-05T23:20:17.7741021Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7741131Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7745491Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7750349Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7754985Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7759083Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7763974Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7768413Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7768724Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7769202Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7769312Z    94 |     struct array
2025-06-05T23:20:17.7769394Z       |            ^~~~~
2025-06-05T23:20:17.7770054Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.7770226Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7770351Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7774965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7780082Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7784980Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7789411Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7794111Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7798547Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7798855Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7799322Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7799409Z    94 |     struct array
2025-06-05T23:20:17.7799531Z       |            ^~~~~
2025-06-05T23:20:17.7800185Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.7800357Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7800477Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7804824Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7809573Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7814268Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7818439Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7823123Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7827521Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7827947Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7828470Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7828560Z    94 |     struct array
2025-06-05T23:20:17.7828639Z       |            ^~~~~
2025-06-05T23:20:17.7829315Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.7829489Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7829596Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7834299Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7839307Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7844345Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7848821Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7853526Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7857916Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7858211Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7858705Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7858792Z    94 |     struct array
2025-06-05T23:20:17.7858870Z       |            ^~~~~
2025-06-05T23:20:17.7859549Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.7859719Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7859830Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7864388Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7869271Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7873874Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7877920Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7882624Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7887084Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7887391Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7887859Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7887959Z    94 |     struct array
2025-06-05T23:20:17.7888043Z       |            ^~~~~
2025-06-05T23:20:17.7888688Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.7888872Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7888979Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7893603Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7898622Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7903596Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7908013Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7912674Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7917042Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7917393Z /pytorch/executorch/kernels/portable/cpu/op_maximum.cpp:47:3:   required from here
2025-06-05T23:20:17.7917865Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7917952Z    94 |     struct array
2025-06-05T23:20:17.7918044Z       |            ^~~~~
2025-06-05T23:20:17.7918695Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.7918865Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7918985Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7919461Z [ 71%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_native_dropout.cpp.o
2025-06-05T23:20:17.7919976Z [ 72%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_native_group_norm.cpp.o
2025-06-05T23:20:17.7920477Z [ 72%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-06-05T23:20:17.7920889Z [ 72%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_ne.cpp.o
2025-06-05T23:20:17.7921023Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.7921156Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.7921320Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.7921435Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.7921706Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.7921907Z                  from /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:9:
2025-06-05T23:20:17.7926331Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7931157Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7935922Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7940094Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.7944959Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.7949480Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7949830Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.7950343Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7950436Z    94 |     struct array
2025-06-05T23:20:17.7950532Z       |            ^~~~~
2025-06-05T23:20:17.7951260Z /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]’
2025-06-05T23:20:17.7951439Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7951560Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7956250Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.7961308Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7966469Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.7970946Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.7975665Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.7980123Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.7980468Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.7981003Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.7981090Z    94 |     struct array
2025-06-05T23:20:17.7981169Z       |            ^~~~~
2025-06-05T23:20:17.7981910Z /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]’
2025-06-05T23:20:17.7982086Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.7982193Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.7986587Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.7991462Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.7996165Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8000299Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8004996Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8009511Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8009808Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8010324Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8010413Z    94 |     struct array
2025-06-05T23:20:17.8010490Z       |            ^~~~~
2025-06-05T23:20:17.8011215Z /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]’
2025-06-05T23:20:17.8011385Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8011521Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8016219Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8021381Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8026339Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8030843Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8035597Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8040029Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8040338Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8040856Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8040947Z    94 |     struct array
2025-06-05T23:20:17.8041032Z       |            ^~~~~
2025-06-05T23:20:17.8041763Z /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]’
2025-06-05T23:20:17.8041935Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8042049Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8046583Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8051384Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8056036Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8060144Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8065015Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8069564Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8069897Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8070407Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8070494Z    94 |     struct array
2025-06-05T23:20:17.8070575Z       |            ^~~~~
2025-06-05T23:20:17.8071268Z /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]’
2025-06-05T23:20:17.8071454Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8071566Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8076244Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8081262Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8086234Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8090645Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8095348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8099781Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8100095Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8100579Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8100678Z    94 |     struct array
2025-06-05T23:20:17.8100756Z       |            ^~~~~
2025-06-05T23:20:17.8101452Z /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]’
2025-06-05T23:20:17.8101635Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8101768Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8106107Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8110858Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8115465Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8119527Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8124233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8128636Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8128941Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8129401Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8129494Z    94 |     struct array
2025-06-05T23:20:17.8129584Z       |            ^~~~~
2025-06-05T23:20:17.8130214Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.8130383Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8130503Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8135126Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8140155Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8145064Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8149602Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8154304Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8158691Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8159000Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8159460Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8159549Z    94 |     struct array
2025-06-05T23:20:17.8159644Z       |            ^~~~~
2025-06-05T23:20:17.8160279Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.8160447Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8160568Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8165228Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8170023Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8174703Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8178762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8183455Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8187924Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8188259Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8188760Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8188852Z    94 |     struct array
2025-06-05T23:20:17.8188933Z       |            ^~~~~
2025-06-05T23:20:17.8189629Z /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]’
2025-06-05T23:20:17.8189812Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8189918Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8194553Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8199579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8204495Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8208915Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8213593Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8218007Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8218305Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8218798Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8218913Z    94 |     struct array
2025-06-05T23:20:17.8218992Z       |            ^~~~~
2025-06-05T23:20:17.8219677Z /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]’
2025-06-05T23:20:17.8219886Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8220020Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8224348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8229126Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8233781Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8237863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8242574Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8246944Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8247315Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8247804Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8247902Z    94 |     struct array
2025-06-05T23:20:17.8247979Z       |            ^~~~~
2025-06-05T23:20:17.8248722Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.8248910Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8249014Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8253637Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8258682Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8263590Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8268208Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8272902Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8277369Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8277676Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8278147Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8278233Z    94 |     struct array
2025-06-05T23:20:17.8278326Z       |            ^~~~~
2025-06-05T23:20:17.8278979Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.8279152Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8279273Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8283614Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8288331Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8292975Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8297054Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8301766Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8306162Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8306493Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8307018Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8307107Z    94 |     struct array
2025-06-05T23:20:17.8307185Z       |            ^~~~~
2025-06-05T23:20:17.8307933Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.8308107Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8308213Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8312872Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8317897Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8322820Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8327233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8331941Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8336338Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8336633Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8337128Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8337217Z    94 |     struct array
2025-06-05T23:20:17.8337298Z       |            ^~~~~
2025-06-05T23:20:17.8337968Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.8338140Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8338245Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8342581Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8347341Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8352517Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8356618Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8361331Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8365909Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8366210Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8366686Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8366790Z    94 |     struct array
2025-06-05T23:20:17.8366870Z       |            ^~~~~
2025-06-05T23:20:17.8367509Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.8367701Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8367808Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8372472Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8377511Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8382456Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8386821Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8391584Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8395977Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8396325Z /pytorch/executorch/kernels/portable/cpu/op_minimum.cpp:47:3:   required from here
2025-06-05T23:20:17.8396795Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8396899Z    94 |     struct array
2025-06-05T23:20:17.8396979Z       |            ^~~~~
2025-06-05T23:20:17.8397617Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.8397798Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8397920Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8398344Z [ 73%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_neg.cpp.o
2025-06-05T23:20:17.8398782Z [ 73%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_nonzero.cpp.o
2025-06-05T23:20:17.8398929Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.8399052Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.8399214Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.8399344Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.8399602Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.8399789Z                  from /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:9:
2025-06-05T23:20:17.8404218Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8408992Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8413727Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8417836Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8422564Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8426938Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8427282Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8427857Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8427963Z    94 |     struct array
2025-06-05T23:20:17.8428046Z       |            ^~~~~
2025-06-05T23:20:17.8428788Z /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]’
2025-06-05T23:20:17.8428978Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8429094Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8433741Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8438769Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8443679Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8448349Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8453350Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8458149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8458445Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8459028Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8459129Z    94 |     struct array
2025-06-05T23:20:17.8459212Z       |            ^~~~~
2025-06-05T23:20:17.8460013Z /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]’
2025-06-05T23:20:17.8460216Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8460382Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8465264Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8470539Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8475660Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8480146Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8485253Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8489869Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8490161Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8490672Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8490762Z    94 |     struct array
2025-06-05T23:20:17.8490853Z       |            ^~~~~
2025-06-05T23:20:17.8491566Z /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]’
2025-06-05T23:20:17.8491736Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8491855Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8496525Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8501617Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8506565Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8511126Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8515863Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8520478Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8520788Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8521296Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8521391Z    94 |     struct array
2025-06-05T23:20:17.8521471Z       |            ^~~~~
2025-06-05T23:20:17.8522195Z /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]’
2025-06-05T23:20:17.8522365Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8522473Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8526826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8531567Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8536215Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8540401Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8545094Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8549545Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8549825Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8550359Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8550447Z    94 |     struct array
2025-06-05T23:20:17.8550525Z       |            ^~~~~
2025-06-05T23:20:17.8551306Z /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]’
2025-06-05T23:20:17.8551538Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8551646Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8556360Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8561357Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8566434Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8570826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8575564Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8579931Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8580241Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8580732Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8580839Z    94 |     struct array
2025-06-05T23:20:17.8580919Z       |            ^~~~~
2025-06-05T23:20:17.8581609Z /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]’
2025-06-05T23:20:17.8581798Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8581906Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8586217Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8591106Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8595698Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8599753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8604416Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8608798Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8609083Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8609544Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8609630Z    94 |     struct array
2025-06-05T23:20:17.8609721Z       |            ^~~~~
2025-06-05T23:20:17.8610357Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.8610533Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8610659Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8615266Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8620234Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8625175Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8629543Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8634189Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8638567Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8638895Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8639359Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8639446Z    94 |     struct array
2025-06-05T23:20:17.8639538Z       |            ^~~~~
2025-06-05T23:20:17.8640176Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.8640348Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8640471Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8644798Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8649498Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8654168Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8658349Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8663107Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8667768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8668047Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8668559Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8668653Z    94 |     struct array
2025-06-05T23:20:17.8668733Z       |            ^~~~~
2025-06-05T23:20:17.8669578Z /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]’
2025-06-05T23:20:17.8669758Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8669864Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8674520Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8679579Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8684449Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8688769Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8693443Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8697889Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8698163Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8698655Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8698745Z    94 |     struct array
2025-06-05T23:20:17.8698830Z       |            ^~~~~
2025-06-05T23:20:17.8699510Z /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]’
2025-06-05T23:20:17.8699692Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8699800Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8704108Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8708862Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8713505Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8717567Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8722233Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8726604Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8726939Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8727414Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8727517Z    94 |     struct array
2025-06-05T23:20:17.8727598Z       |            ^~~~~
2025-06-05T23:20:17.8728249Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.8728424Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8728547Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8733172Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8738176Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8743068Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8747430Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8752130Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8756617Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8756904Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8757383Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8757504Z    94 |     struct array
2025-06-05T23:20:17.8757597Z       |            ^~~~~
2025-06-05T23:20:17.8758255Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.8758428Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8758920Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8763260Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8768214Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8772822Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8776907Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8781610Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8786018Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8786294Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8786786Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8786874Z    94 |     struct array
2025-06-05T23:20:17.8786956Z       |            ^~~~~
2025-06-05T23:20:17.8787690Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.8787869Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8787983Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8792603Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8797665Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8802560Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8806897Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8811536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8815991Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8816271Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8816759Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8816846Z    94 |     struct array
2025-06-05T23:20:17.8816925Z       |            ^~~~~
2025-06-05T23:20:17.8817585Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.8817791Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8817904Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8822202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8826846Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8831534Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8835619Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8840250Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8844592Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8844900Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8845366Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8845523Z    94 |     struct array
2025-06-05T23:20:17.8845603Z       |            ^~~~~
2025-06-05T23:20:17.8846272Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.8846458Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8846566Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8851151Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8856163Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8861167Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8865749Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8870499Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8874864Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:17.8875150Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:70:5:   required from here
2025-06-05T23:20:17.8875619Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.8875704Z    94 |     struct array
2025-06-05T23:20:17.8875796Z       |            ^~~~~
2025-06-05T23:20:17.8876444Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.8876614Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8876732Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8880550Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8884822Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8888920Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8892472Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8896591Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8900546Z /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)>]’
2025-06-05T23:20:17.8900823Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.8901329Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.8901428Z    94 |     struct array
2025-06-05T23:20:17.8901511Z       |            ^~~~~
2025-06-05T23:20:17.8902245Z /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]’
2025-06-05T23:20:17.8902427Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8902532Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8906612Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8911170Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8915537Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8919384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8923490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8927383Z /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)>]’
2025-06-05T23:20:17.8927694Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.8928227Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.8928313Z    94 |     struct array
2025-06-05T23:20:17.8928403Z       |            ^~~~~
2025-06-05T23:20:17.8929141Z /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]’
2025-06-05T23:20:17.8929315Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8929433Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8933239Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8937403Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8941476Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8945028Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.8949208Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.8953130Z /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)>]’
2025-06-05T23:20:17.8953412Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.8953905Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.8954002Z    94 |     struct array
2025-06-05T23:20:17.8954081Z       |            ^~~~~
2025-06-05T23:20:17.8954792Z /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]’
2025-06-05T23:20:17.8955000Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8955109Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8959235Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.8963921Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8968337Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.8972565Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.8976768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.8980695Z /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)>]’
2025-06-05T23:20:17.8981009Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.8981508Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.8981600Z    94 |     struct array
2025-06-05T23:20:17.8981681Z       |            ^~~~~
2025-06-05T23:20:17.8982406Z /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]’
2025-06-05T23:20:17.8982615Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.8982723Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.8986495Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.8990726Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8994755Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.8998261Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9002373Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9006271Z /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)>]’
2025-06-05T23:20:17.9006559Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9007040Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9007167Z    94 |     struct array
2025-06-05T23:20:17.9007246Z       |            ^~~~~
2025-06-05T23:20:17.9007943Z /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]’
2025-06-05T23:20:17.9008111Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9008230Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9012250Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9016709Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9021040Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9024837Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9028960Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9032873Z /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)>]’
2025-06-05T23:20:17.9033170Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9033695Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9033780Z    94 |     struct array
2025-06-05T23:20:17.9033860Z       |            ^~~~~
2025-06-05T23:20:17.9034567Z /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]’
2025-06-05T23:20:17.9034741Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9034848Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9038575Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9042711Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9046697Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9050202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9054273Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9058116Z /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)>]’
2025-06-05T23:20:17.9058428Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9058889Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9058980Z    94 |     struct array
2025-06-05T23:20:17.9059069Z       |            ^~~~~
2025-06-05T23:20:17.9059708Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.9059890Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9060011Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9064379Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9068900Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9073236Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9076990Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9081049Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9084950Z /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)>]’
2025-06-05T23:20:17.9085249Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9085721Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9085811Z    94 |     struct array
2025-06-05T23:20:17.9085889Z       |            ^~~~~
2025-06-05T23:20:17.9086525Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:17.9086708Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9086813Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9090575Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9094737Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9098817Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9102348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9115103Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9119305Z /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)>]’
2025-06-05T23:20:17.9119597Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9120092Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9120199Z    94 |     struct array
2025-06-05T23:20:17.9120282Z       |            ^~~~~
2025-06-05T23:20:17.9120970Z /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]’
2025-06-05T23:20:17.9121156Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9121264Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9125390Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9129889Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9134193Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9138001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9142093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9146031Z /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)>]’
2025-06-05T23:20:17.9146322Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9146808Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9146896Z    94 |     struct array
2025-06-05T23:20:17.9146976Z       |            ^~~~~
2025-06-05T23:20:17.9147760Z /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]’
2025-06-05T23:20:17.9147939Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9148051Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9151798Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9155938Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9159949Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9163628Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9167880Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9171798Z /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)>]’
2025-06-05T23:20:17.9172098Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9172580Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9172667Z    94 |     struct array
2025-06-05T23:20:17.9172762Z       |            ^~~~~
2025-06-05T23:20:17.9173417Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.9173588Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9173713Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9177842Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9182274Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9186566Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9190407Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9194521Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9198408Z /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)>]’
2025-06-05T23:20:17.9198684Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9199167Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9199252Z    94 |     struct array
2025-06-05T23:20:17.9199331Z       |            ^~~~~
2025-06-05T23:20:17.9199999Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:17.9200171Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9200278Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9204044Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9208144Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9212235Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9215732Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9219809Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9223697Z /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)>]’
2025-06-05T23:20:17.9223985Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9224460Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9224544Z    94 |     struct array
2025-06-05T23:20:17.9224633Z       |            ^~~~~
2025-06-05T23:20:17.9225298Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.9225499Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9225617Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9229729Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9234173Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9238500Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9242272Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9246357Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9250295Z /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)>]’
2025-06-05T23:20:17.9250573Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9251051Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9251149Z    94 |     struct array
2025-06-05T23:20:17.9251232Z       |            ^~~~~
2025-06-05T23:20:17.9251898Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:17.9252083Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9252198Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9255965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9260055Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9264330Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9267966Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9272029Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9275943Z /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)>]’
2025-06-05T23:20:17.9276236Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9276707Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9276795Z    94 |     struct array
2025-06-05T23:20:17.9276874Z       |            ^~~~~
2025-06-05T23:20:17.9277566Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.9277738Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9277875Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9281944Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9286346Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9291052Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9294829Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9298935Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9302820Z /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)>]’
2025-06-05T23:20:17.9303098Z /pytorch/executorch/kernels/portable/cpu/op_mul.cpp:115:3:   required from here
2025-06-05T23:20:17.9303570Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9303668Z    94 |     struct array
2025-06-05T23:20:17.9303747Z       |            ^~~~~
2025-06-05T23:20:17.9304391Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:17.9304580Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9304687Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9305113Z [ 73%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_ones.cpp.o
2025-06-05T23:20:17.9305593Z [ 74%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_pdist_forward.cpp.o
2025-06-05T23:20:17.9306078Z [ 74%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_permute_copy.cpp.o
2025-06-05T23:20:17.9306543Z [ 74%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_pixel_shuffle.cpp.o
2025-06-05T23:20:17.9306678Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.9306807Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.9306970Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.9307086Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.9307358Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:17.9307703Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:17.9307939Z                  from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:20:17.9312685Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9317815Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9322789Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9327204Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9331451Z /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>}]’
2025-06-05T23:20:17.9335554Z /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)>]’
2025-06-05T23:20:17.9335877Z /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:20:17.9336356Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9336446Z    94 |     struct array
2025-06-05T23:20:17.9336525Z       |            ^~~~~
2025-06-05T23:20:17.9337192Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.9337364Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9337470Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9342189Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9347295Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9352331Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9356768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9361014Z /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>}]’
2025-06-05T23:20:17.9365382Z /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)>]’
2025-06-05T23:20:17.9365834Z /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:20:17.9366333Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9366459Z    94 |     struct array
2025-06-05T23:20:17.9366559Z       |            ^~~~~
2025-06-05T23:20:17.9367238Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.9367424Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9367533Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9372242Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9377324Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9382317Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9386796Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9391174Z /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>}]’
2025-06-05T23:20:17.9395283Z /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)>]’
2025-06-05T23:20:17.9395622Z /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:20:17.9396102Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::Half, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9396229Z    94 |     struct array
2025-06-05T23:20:17.9396307Z       |            ^~~~~
2025-06-05T23:20:17.9396610Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/half.h:11,
2025-06-05T23:20:17.9396949Z                  from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-06-05T23:20:17.9397209Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-06-05T23:20:17.9397508Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:17.9397837Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:17.9398147Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:12,
2025-06-05T23:20:17.9398386Z                  from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:20:17.9399274Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:384:18: note: and the implicitly-defined constructor does not initialize ‘short unsigned int c10::Half::x’
2025-06-05T23:20:17.9399384Z   384 |   unsigned short x;
2025-06-05T23:20:17.9399464Z       |                  ^
2025-06-05T23:20:17.9399598Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.9399727Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.9399886Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.9399999Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.9400266Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:17.9400562Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:17.9400799Z                  from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:20:17.9405547Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9410631Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9415676Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9420135Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9424429Z /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>}]’
2025-06-05T23:20:17.9428625Z /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)>]’
2025-06-05T23:20:17.9429036Z /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:58:5:   required from here
2025-06-05T23:20:17.9429545Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<c10::BFloat16, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9429647Z    94 |     struct array
2025-06-05T23:20:17.9429726Z       |            ^~~~~
2025-06-05T23:20:17.9430044Z In file included from /pytorch/executorch/../executorch/runtime/core/portable_type/bfloat16.h:11,
2025-06-05T23:20:17.9430309Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:35,
2025-06-05T23:20:17.9430609Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/delinearize_index.h:11,
2025-06-05T23:20:17.9430944Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/broadcast_indexes_range.h:17,
2025-06-05T23:20:17.9431252Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:12,
2025-06-05T23:20:17.9431495Z                  from /pytorch/executorch/kernels/portable/cpu/op_native_dropout.cpp:9:
2025-06-05T23:20:17.9432371Z /pytorch/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h:84:12: note: and the implicitly-defined constructor does not initialize ‘uint16_t c10::BFloat16::x’
2025-06-05T23:20:17.9432471Z    84 |   uint16_t x;
2025-06-05T23:20:17.9432552Z       |            ^
2025-06-05T23:20:17.9433033Z [ 75%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_pixel_unshuffle.cpp.o
2025-06-05T23:20:17.9433452Z [ 75%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_pow.cpp.o
2025-06-05T23:20:17.9433599Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:17.9433718Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:17.9433881Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:17.9434011Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:17.9434270Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:17.9434568Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/pattern/comparison_op.h:11,
2025-06-05T23:20:17.9434763Z                  from /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:9:
2025-06-05T23:20:17.9438158Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9441877Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9445576Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9448654Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9452279Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9455662Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9457752Z /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)]’
2025-06-05T23:20:17.9458021Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9458542Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9458658Z    94 |     struct array
2025-06-05T23:20:17.9458739Z       |            ^~~~~
2025-06-05T23:20:17.9459483Z /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]’
2025-06-05T23:20:17.9459713Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9459820Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9463430Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9467703Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9471721Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9475080Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9478742Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9482169Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9484259Z /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)]’
2025-06-05T23:20:17.9484526Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9485034Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9485134Z    94 |     struct array
2025-06-05T23:20:17.9485212Z       |            ^~~~~
2025-06-05T23:20:17.9485952Z /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]’
2025-06-05T23:20:17.9486136Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9486243Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9489573Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9493282Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9496913Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9499995Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9503605Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9506974Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9509092Z /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)]’
2025-06-05T23:20:17.9509359Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9509876Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9509996Z    94 |     struct array
2025-06-05T23:20:17.9510074Z       |            ^~~~~
2025-06-05T23:20:17.9510800Z /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]’
2025-06-05T23:20:17.9510998Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9511131Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9514730Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9518700Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9522545Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9525856Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9529492Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9532861Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9534951Z /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)]’
2025-06-05T23:20:17.9535218Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9535714Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9535816Z    94 |     struct array
2025-06-05T23:20:17.9535897Z       |            ^~~~~
2025-06-05T23:20:17.9536610Z /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]’
2025-06-05T23:20:17.9536798Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9536910Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9540214Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9543871Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9547460Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9550538Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9554113Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9557466Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9559551Z /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)]’
2025-06-05T23:20:17.9559833Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9560318Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9560404Z    94 |     struct array
2025-06-05T23:20:17.9560504Z       |            ^~~~~
2025-06-05T23:20:17.9561195Z /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]’
2025-06-05T23:20:17.9561395Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9561515Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9565333Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9569410Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9573272Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9576550Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9580130Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9583546Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9585634Z /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)]’
2025-06-05T23:20:17.9585907Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9586408Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9586496Z    94 |     struct array
2025-06-05T23:20:17.9586608Z       |            ^~~~~
2025-06-05T23:20:17.9587305Z /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]’
2025-06-05T23:20:17.9587494Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9587648Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9590877Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9594413Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9597907Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9600883Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9604417Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9607679Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9609748Z /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)]’
2025-06-05T23:20:17.9610031Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9610497Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9610585Z    94 |     struct array
2025-06-05T23:20:17.9610680Z       |            ^~~~~
2025-06-05T23:20:17.9611313Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.9611487Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9611611Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9615149Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9619059Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9622841Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9626067Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9629653Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9632971Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9635074Z /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)]’
2025-06-05T23:20:17.9635344Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9635826Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9635913Z    94 |     struct array
2025-06-05T23:20:17.9635992Z       |            ^~~~~
2025-06-05T23:20:17.9636636Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:17.9636810Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9636944Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9640198Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9643816Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9647364Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9650447Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9653995Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9657323Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9659406Z /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)]’
2025-06-05T23:20:17.9659687Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9660169Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9660253Z    94 |     struct array
2025-06-05T23:20:17.9660344Z       |            ^~~~~
2025-06-05T23:20:17.9661031Z /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]’
2025-06-05T23:20:17.9661202Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9661318Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9665097Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9669146Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9673165Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9676554Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9680131Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9683478Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9685621Z /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)]’
2025-06-05T23:20:17.9685889Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9686386Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9686472Z    94 |     struct array
2025-06-05T23:20:17.9686551Z       |            ^~~~~
2025-06-05T23:20:17.9687254Z /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]’
2025-06-05T23:20:17.9687428Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9687555Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9690825Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9694450Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9697958Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9700973Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9704550Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9707922Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9710021Z /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)]’
2025-06-05T23:20:17.9710292Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9710783Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9710869Z    94 |     struct array
2025-06-05T23:20:17.9710951Z       |            ^~~~~
2025-06-05T23:20:17.9711608Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.9711793Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9711933Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9715490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9719395Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9723197Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9726454Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9730016Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9733318Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9735410Z /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)]’
2025-06-05T23:20:17.9735688Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9736155Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9736245Z    94 |     struct array
2025-06-05T23:20:17.9736336Z       |            ^~~~~
2025-06-05T23:20:17.9736991Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:17.9737161Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9737279Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9740544Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9744175Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9747751Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9750754Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9754365Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9757659Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9759790Z /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)]’
2025-06-05T23:20:17.9760064Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9760550Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9760635Z    94 |     struct array
2025-06-05T23:20:17.9760712Z       |            ^~~~~
2025-06-05T23:20:17.9761385Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.9761558Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9761664Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9765577Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9769543Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9773549Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9776859Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9780413Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9783723Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9785831Z /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)]’
2025-06-05T23:20:17.9786132Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9786609Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9786706Z    94 |     struct array
2025-06-05T23:20:17.9786785Z       |            ^~~~~
2025-06-05T23:20:17.9787451Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:17.9787703Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9787812Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9791038Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9794661Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9798137Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9801122Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9804672Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9807941Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9810060Z /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)]’
2025-06-05T23:20:17.9810328Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9810808Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9810900Z    94 |     struct array
2025-06-05T23:20:17.9810981Z       |            ^~~~~
2025-06-05T23:20:17.9811638Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.9811809Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9811915Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9815453Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9819356Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9823186Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9826439Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9830030Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9833334Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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>]’
2025-06-05T23:20:17.9835456Z /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)]’
2025-06-05T23:20:17.9835752Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:25:21:   required from here
2025-06-05T23:20:17.9836220Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 2>’ has no user-provided default constructor
2025-06-05T23:20:17.9836316Z    94 |     struct array
2025-06-05T23:20:17.9836401Z       |            ^~~~~
2025-06-05T23:20:17.9837045Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 2>::_M_elems [2]’
2025-06-05T23:20:17.9837226Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9837332Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9841543Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9846152Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9850667Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9854641Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9859150Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9863458Z /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)>]’
2025-06-05T23:20:17.9865738Z /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)]’
2025-06-05T23:20:17.9866009Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:17.9866517Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9866683Z    94 |     struct array
2025-06-05T23:20:17.9866762Z       |            ^~~~~
2025-06-05T23:20:17.9867533Z /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]’
2025-06-05T23:20:17.9867798Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9867909Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9872387Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9877426Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9882214Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9886461Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9891078Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9895424Z /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)>]’
2025-06-05T23:20:17.9897544Z /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)]’
2025-06-05T23:20:17.9897824Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:17.9898345Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9898432Z    94 |     struct array
2025-06-05T23:20:17.9898514Z       |            ^~~~~
2025-06-05T23:20:17.9899256Z /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]’
2025-06-05T23:20:17.9899430Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9899565Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9903802Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9908484Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9912958Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9916895Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9921459Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9925758Z /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)>]’
2025-06-05T23:20:17.9927837Z /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)]’
2025-06-05T23:20:17.9928130Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:17.9928624Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9928711Z    94 |     struct array
2025-06-05T23:20:17.9928790Z       |            ^~~~~
2025-06-05T23:20:17.9929537Z /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]’
2025-06-05T23:20:17.9929708Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9929819Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9934282Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:17.9939166Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9943892Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:17.9948171Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:17.9952671Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:17.9957018Z /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)>]’
2025-06-05T23:20:17.9959107Z /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)]’
2025-06-05T23:20:17.9959387Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:17.9959884Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9959971Z    94 |     struct array
2025-06-05T23:20:17.9960066Z       |            ^~~~~
2025-06-05T23:20:17.9960776Z /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]’
2025-06-05T23:20:17.9960945Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9961074Z       |                                                        ^~~~~~~~
2025-06-05T23:20:17.9965442Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:17.9970917Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9977122Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:17.9981093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:17.9986001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:17.9991368Z /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)>]’
2025-06-05T23:20:17.9993647Z /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)]’
2025-06-05T23:20:17.9993919Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:17.9994416Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:17.9994524Z    94 |     struct array
2025-06-05T23:20:17.9994616Z       |            ^~~~~
2025-06-05T23:20:17.9995313Z /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]’
2025-06-05T23:20:17.9995498Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:17.9995614Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0000438Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0005954Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0011141Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0016467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0021367Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0025719Z /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)>]’
2025-06-05T23:20:18.0028418Z /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)]’
2025-06-05T23:20:18.0028745Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0029273Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0029361Z    94 |     struct array
2025-06-05T23:20:18.0029474Z       |            ^~~~~
2025-06-05T23:20:18.0030204Z /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]’
2025-06-05T23:20:18.0030393Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0030502Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0035985Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0041817Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0046408Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0050311Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0054832Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0059058Z /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)>]’
2025-06-05T23:20:18.0061182Z /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)]’
2025-06-05T23:20:18.0061459Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0061939Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0062029Z    94 |     struct array
2025-06-05T23:20:18.0062117Z       |            ^~~~~
2025-06-05T23:20:18.0062772Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.0062947Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0063055Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0067780Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0072666Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0077365Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0081573Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0086089Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0090405Z /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)>]’
2025-06-05T23:20:18.0092482Z /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)]’
2025-06-05T23:20:18.0092766Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0093238Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0093325Z    94 |     struct array
2025-06-05T23:20:18.0093405Z       |            ^~~~~
2025-06-05T23:20:18.0094057Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.0094233Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0094369Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0098528Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0103094Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0107522Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0111492Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0115979Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0120265Z /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)>]’
2025-06-05T23:20:18.0122381Z /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)]’
2025-06-05T23:20:18.0122668Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0123160Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0123250Z    94 |     struct array
2025-06-05T23:20:18.0123345Z       |            ^~~~~
2025-06-05T23:20:18.0124024Z /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]’
2025-06-05T23:20:18.0124197Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0124323Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0128792Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0133613Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0138372Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0142550Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0147063Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0151414Z /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)>]’
2025-06-05T23:20:18.0153568Z /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)]’
2025-06-05T23:20:18.0153860Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0154343Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0154442Z    94 |     struct array
2025-06-05T23:20:18.0154521Z       |            ^~~~~
2025-06-05T23:20:18.0155206Z /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]’
2025-06-05T23:20:18.0155381Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0155502Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0159621Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0164356Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0168782Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0172795Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0177275Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0181559Z /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)>]’
2025-06-05T23:20:18.0183653Z /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)]’
2025-06-05T23:20:18.0183924Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0184392Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0184493Z    94 |     struct array
2025-06-05T23:20:18.0184572Z       |            ^~~~~
2025-06-05T23:20:18.0185227Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0185439Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0185547Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0190056Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0194888Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0199607Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0203760Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0208300Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0212527Z /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)>]’
2025-06-05T23:20:18.0214609Z /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)]’
2025-06-05T23:20:18.0214875Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0215396Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0215483Z    94 |     struct array
2025-06-05T23:20:18.0215566Z       |            ^~~~~
2025-06-05T23:20:18.0216216Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0216396Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0216511Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0220673Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0225256Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0229761Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0233689Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0238152Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0242484Z /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)>]’
2025-06-05T23:20:18.0244579Z /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)]’
2025-06-05T23:20:18.0244848Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0245339Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0245425Z    94 |     struct array
2025-06-05T23:20:18.0245509Z       |            ^~~~~
2025-06-05T23:20:18.0246183Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0246354Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0246465Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0250942Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0255793Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0260537Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0264864Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0269480Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0273774Z /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)>]’
2025-06-05T23:20:18.0275927Z /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)]’
2025-06-05T23:20:18.0276203Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0276681Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0276768Z    94 |     struct array
2025-06-05T23:20:18.0276862Z       |            ^~~~~
2025-06-05T23:20:18.0277535Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0277705Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0277812Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0281945Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0286487Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0290933Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0294825Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0299275Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0303530Z /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)>]’
2025-06-05T23:20:18.0305613Z /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)]’
2025-06-05T23:20:18.0305890Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0306384Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0306472Z    94 |     struct array
2025-06-05T23:20:18.0306560Z       |            ^~~~~
2025-06-05T23:20:18.0307257Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:18.0307426Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0307543Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0312014Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0316795Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0321481Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0325627Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0330108Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0334353Z /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)>]’
2025-06-05T23:20:18.0336478Z /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)]’
2025-06-05T23:20:18.0336748Z /pytorch/executorch/kernels/portable/cpu/op_ne.cpp:36:21:   required from here
2025-06-05T23:20:18.0337220Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0337323Z    94 |     struct array
2025-06-05T23:20:18.0337402Z       |            ^~~~~
2025-06-05T23:20:18.0338042Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 1>::_M_elems [1]’
2025-06-05T23:20:18.0338222Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0338330Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0338763Z [ 75%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_prod.cpp.o
2025-06-05T23:20:18.0339210Z [ 76%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_rand.cpp.o
2025-06-05T23:20:18.0339645Z [ 76%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_randn.cpp.o
2025-06-05T23:20:18.0340101Z [ 76%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_reciprocal.cpp.o
2025-06-05T23:20:18.0340645Z [ 76%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_reflection_pad1d.cpp.o
2025-06-05T23:20:18.0341134Z [ 77%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_reflection_pad2d.cpp.o
2025-06-05T23:20:18.0341609Z [ 77%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_reflection_pad3d.cpp.o
2025-06-05T23:20:18.0341743Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.0341874Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.0342033Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.0342149Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.0342417Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:18.0342610Z                  from /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:11:
2025-06-05T23:20:18.0346993Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0351876Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0356548Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0360693Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0365525Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0369998Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0370290Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:20:18.0370762Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0370848Z    94 |     struct array
2025-06-05T23:20:18.0370943Z       |            ^~~~~
2025-06-05T23:20:18.0371598Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.0371770Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0371931Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0376613Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0381689Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0386638Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0391062Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0395854Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0400303Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0400607Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:20:18.0401078Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0401168Z    94 |     struct array
2025-06-05T23:20:18.0401266Z       |            ^~~~~
2025-06-05T23:20:18.0401924Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.0402098Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0402226Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0406615Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0411497Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0416219Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0420301Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0425021Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0429538Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0429835Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:20:18.0430336Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0430426Z    94 |     struct array
2025-06-05T23:20:18.0430507Z       |            ^~~~~
2025-06-05T23:20:18.0431187Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.0431359Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0431495Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0436176Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0441233Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0446272Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0450733Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0455446Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0459872Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0460173Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:55:3:   required from here
2025-06-05T23:20:18.0460717Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0460805Z    94 |     struct array
2025-06-05T23:20:18.0460886Z       |            ^~~~~
2025-06-05T23:20:18.0461553Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.0461738Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0461847Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0465824Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0470133Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0474233Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0477826Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0482031Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0485966Z /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)>]’
2025-06-05T23:20:18.0486256Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:20:18.0486732Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0486818Z    94 |     struct array
2025-06-05T23:20:18.0486909Z       |            ^~~~~
2025-06-05T23:20:18.0487563Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0487732Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0487854Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0491939Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0496430Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0500848Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0504676Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0508869Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0512815Z /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)>]’
2025-06-05T23:20:18.0513130Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:20:18.0513598Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0513696Z    94 |     struct array
2025-06-05T23:20:18.0513779Z       |            ^~~~~
2025-06-05T23:20:18.0514431Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0514615Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0514721Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0518552Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0522726Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0526819Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0530532Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0534714Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0538670Z /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)>]’
2025-06-05T23:20:18.0538959Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:20:18.0539441Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0539529Z    94 |     struct array
2025-06-05T23:20:18.0539614Z       |            ^~~~~
2025-06-05T23:20:18.0540288Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0540462Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0540569Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0544782Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0549615Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0554039Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0557901Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0562030Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0566248Z /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)>]’
2025-06-05T23:20:18.0566570Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:108:3:   required from here
2025-06-05T23:20:18.0567067Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0567170Z    94 |     struct array
2025-06-05T23:20:18.0567250Z       |            ^~~~~
2025-06-05T23:20:18.0567915Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0568107Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0568215Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0572050Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0578458Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0593262Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0606362Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0614428Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0621746Z /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)>]’
2025-06-05T23:20:18.0625312Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:20:18.0626178Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0626710Z    94 |     struct array
2025-06-05T23:20:18.0626954Z       |            ^~~~~
2025-06-05T23:20:18.0627846Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0628706Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0629092Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0633381Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0641282Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0649342Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0656762Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0664338Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0671877Z /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)>]’
2025-06-05T23:20:18.0675434Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:20:18.0676304Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0676844Z    94 |     struct array
2025-06-05T23:20:18.0677089Z       |            ^~~~~
2025-06-05T23:20:18.0677880Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.0678640Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0679030Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0683099Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0690509Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0698087Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0705034Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0712197Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0719524Z /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)>]’
2025-06-05T23:20:18.0723106Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:20:18.0723974Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0724570Z    94 |     struct array
2025-06-05T23:20:18.0724820Z       |            ^~~~~
2025-06-05T23:20:18.0725623Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0726400Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0726791Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0731080Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0738998Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0747104Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0754622Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0761955Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0769465Z /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)>]’
2025-06-05T23:20:18.0773039Z /pytorch/executorch/kernels/portable/cpu/op_pow.cpp:158:3:   required from here
2025-06-05T23:20:18.0773909Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.0774460Z    94 |     struct array
2025-06-05T23:20:18.0774696Z       |            ^~~~~
2025-06-05T23:20:18.0775572Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.0776331Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0776734Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0777381Z [ 77%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_relu.cpp.o
2025-06-05T23:20:18.0778285Z [ 78%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_remainder.cpp.o
2025-06-05T23:20:18.0779206Z [ 78%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_repeat.cpp.o
2025-06-05T23:20:18.0780136Z [ 78%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_repeat_interleave.cpp.o
2025-06-05T23:20:18.0781126Z [ 79%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_replication_pad1d.cpp.o
2025-06-05T23:20:18.0782108Z [ 79%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_replication_pad2d.cpp.o
2025-06-05T23:20:18.0783094Z [ 79%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_replication_pad3d.cpp.o
2025-06-05T23:20:18.0784008Z [ 80%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_roll.cpp.o
2025-06-05T23:20:18.0784863Z [ 80%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_round.cpp.o
2025-06-05T23:20:18.0785806Z [ 80%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_rsqrt.cpp.o
2025-06-05T23:20:18.0786660Z [ 81%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_rsub.cpp.o
2025-06-05T23:20:18.0787236Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.0787680Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.0788065Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.0788459Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.0788933Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:18.0789573Z                  from /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:11:
2025-06-05T23:20:18.0794395Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0803052Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0812045Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0820462Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0828821Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0837496Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0841561Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.0842489Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0843047Z    94 |     struct array
2025-06-05T23:20:18.0843288Z       |            ^~~~~
2025-06-05T23:20:18.0844178Z /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]’
2025-06-05T23:20:18.0844998Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0845397Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0850375Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0859629Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0870672Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0879524Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.0888118Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.0896822Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0900890Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.0901813Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0902388Z    94 |     struct array
2025-06-05T23:20:18.0902633Z       |            ^~~~~
2025-06-05T23:20:18.0903544Z /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]’
2025-06-05T23:20:18.0904374Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0904780Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0909486Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.0918117Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0927134Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.0935476Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.0943706Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.0952404Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.0956550Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.0957468Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.0958020Z    94 |     struct array
2025-06-05T23:20:18.0958261Z       |            ^~~~~
2025-06-05T23:20:18.0959116Z /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]’
2025-06-05T23:20:18.0959931Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.0960319Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.0965462Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.0974717Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0984166Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.0993043Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1001524Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1010191Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1014307Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1015230Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1015796Z    94 |     struct array
2025-06-05T23:20:18.1016029Z       |            ^~~~~
2025-06-05T23:20:18.1016895Z /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]’
2025-06-05T23:20:18.1017714Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1018098Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1022744Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1031293Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1040198Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1048503Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1056749Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1065588Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1069709Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1070618Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1071181Z    94 |     struct array
2025-06-05T23:20:18.1071417Z       |            ^~~~~
2025-06-05T23:20:18.1072271Z /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]’
2025-06-05T23:20:18.1073060Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1073453Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1078415Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1087714Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1097141Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1105916Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1114456Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1123110Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1127162Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1128058Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1128621Z    94 |     struct array
2025-06-05T23:20:18.1128851Z       |            ^~~~~
2025-06-05T23:20:18.1129694Z /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]’
2025-06-05T23:20:18.1130476Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1130865Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1135490Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1143885Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1152761Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1160896Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1169220Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1177811Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1181893Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1182771Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1183288Z    94 |     struct array
2025-06-05T23:20:18.1183530Z       |            ^~~~~
2025-06-05T23:20:18.1184310Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:18.1185066Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1185461Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1190375Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1199544Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1208902Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1217636Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1226032Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1234595Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1238634Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1239542Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1240076Z    94 |     struct array
2025-06-05T23:20:18.1240319Z       |            ^~~~~
2025-06-05T23:20:18.1241095Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:18.1241903Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1242284Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1246905Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1255389Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1264416Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1272746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1281039Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1289654Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1293684Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1294593Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1295145Z    94 |     struct array
2025-06-05T23:20:18.1295374Z       |            ^~~~~
2025-06-05T23:20:18.1296213Z /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]’
2025-06-05T23:20:18.1296999Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1297378Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1302310Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1312112Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1321497Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1330256Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1338700Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1347342Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1351433Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1352335Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1352891Z    94 |     struct array
2025-06-05T23:20:18.1353121Z       |            ^~~~~
2025-06-05T23:20:18.1353961Z /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]’
2025-06-05T23:20:18.1354731Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1355135Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1359786Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1368428Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1377334Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1385529Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1393753Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1402370Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1406451Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1407338Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1407869Z    94 |     struct array
2025-06-05T23:20:18.1408114Z       |            ^~~~~
2025-06-05T23:20:18.1408914Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.1409679Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1410074Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1414948Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1424157Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1433615Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1442385Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1450795Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1459394Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1463420Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1464432Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1464957Z    94 |     struct array
2025-06-05T23:20:18.1465199Z       |            ^~~~~
2025-06-05T23:20:18.1465995Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.1466799Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1467178Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1471939Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1480465Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1489431Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1497655Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1505884Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1514563Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1518605Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1519485Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1520032Z    94 |     struct array
2025-06-05T23:20:18.1520261Z       |            ^~~~~
2025-06-05T23:20:18.1521078Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.1521850Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1522262Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1527174Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1536385Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1545814Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1554656Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1563061Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1571874Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.1575917Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:55:3:   required from here
2025-06-05T23:20:18.1576810Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.1577360Z    94 |     struct array
2025-06-05T23:20:18.1577592Z       |            ^~~~~
2025-06-05T23:20:18.1578407Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.1579161Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1579550Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1583679Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1591321Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1599118Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1606304Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1613521Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1621005Z /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)>]’
2025-06-05T23:20:18.1624662Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1625575Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1626146Z    94 |     struct array
2025-06-05T23:20:18.1626373Z       |            ^~~~~
2025-06-05T23:20:18.1627259Z /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]’
2025-06-05T23:20:18.1628128Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1628542Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1632955Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1641007Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1649262Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1656812Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1664445Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1672030Z /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)>]’
2025-06-05T23:20:18.1675699Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1676771Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1677348Z    94 |     struct array
2025-06-05T23:20:18.1677592Z       |            ^~~~~
2025-06-05T23:20:18.1678468Z /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]’
2025-06-05T23:20:18.1679306Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1679693Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1683850Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1691405Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1699187Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1706259Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1713541Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1720968Z /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)>]’
2025-06-05T23:20:18.1724607Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1725561Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1726109Z    94 |     struct array
2025-06-05T23:20:18.1726352Z       |            ^~~~~
2025-06-05T23:20:18.1727233Z /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]’
2025-06-05T23:20:18.1728069Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1728449Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1732806Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1740798Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1749076Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1756643Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1764216Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1771645Z /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)>]’
2025-06-05T23:20:18.1775267Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1776185Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1776735Z    94 |     struct array
2025-06-05T23:20:18.1776979Z       |            ^~~~~
2025-06-05T23:20:18.1777841Z /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]’
2025-06-05T23:20:18.1778640Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1779085Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1783184Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1790736Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1798462Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1805460Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1812678Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1820081Z /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)>]’
2025-06-05T23:20:18.1823781Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1824682Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1825232Z    94 |     struct array
2025-06-05T23:20:18.1825463Z       |            ^~~~~
2025-06-05T23:20:18.1826306Z /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]’
2025-06-05T23:20:18.1827093Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1827482Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1831890Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1839887Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1848049Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1855620Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1863033Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1870655Z /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)>]’
2025-06-05T23:20:18.1874404Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1875717Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1876531Z    94 |     struct array
2025-06-05T23:20:18.1876900Z       |            ^~~~~
2025-06-05T23:20:18.1877879Z /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]’
2025-06-05T23:20:18.1878790Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1879297Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1883392Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1891036Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1898755Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.1914558Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.1921793Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.1929213Z /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)>]’
2025-06-05T23:20:18.1932877Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1933771Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1934295Z    94 |     struct array
2025-06-05T23:20:18.1934546Z       |            ^~~~~
2025-06-05T23:20:18.1935331Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.1936078Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1936476Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1940807Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.1948870Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1956988Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.1964713Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.1972093Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.1979470Z /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)>]’
2025-06-05T23:20:18.1983073Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.1983951Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.1984484Z    94 |     struct array
2025-06-05T23:20:18.1984717Z       |            ^~~~~
2025-06-05T23:20:18.1985512Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.1986250Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.1986646Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.1990837Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.1998370Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2006005Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2012991Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2020135Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2027628Z /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)>]’
2025-06-05T23:20:18.2031275Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2032174Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2032724Z    94 |     struct array
2025-06-05T23:20:18.2032957Z       |            ^~~~~
2025-06-05T23:20:18.2033796Z /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]’
2025-06-05T23:20:18.2034564Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2034956Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2039295Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2047259Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2055445Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2063001Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2070643Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2078063Z /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)>]’
2025-06-05T23:20:18.2081670Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2082559Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2083109Z    94 |     struct array
2025-06-05T23:20:18.2083342Z       |            ^~~~~
2025-06-05T23:20:18.2084176Z /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]’
2025-06-05T23:20:18.2084965Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2085347Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2089467Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2096902Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2104533Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2111570Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2118717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2126140Z /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)>]’
2025-06-05T23:20:18.2129753Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2130625Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2131160Z    94 |     struct array
2025-06-05T23:20:18.2131384Z       |            ^~~~~
2025-06-05T23:20:18.2132188Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2133041Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2133427Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2137757Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2145750Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2153976Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2161521Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2169065Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2176442Z /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)>]’
2025-06-05T23:20:18.2180079Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2180964Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2181491Z    94 |     struct array
2025-06-05T23:20:18.2181735Z       |            ^~~~~
2025-06-05T23:20:18.2182578Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2183339Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2183759Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2187936Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2195395Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2203013Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2210005Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2217183Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2224631Z /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)>]’
2025-06-05T23:20:18.2228307Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2229248Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2229784Z    94 |     struct array
2025-06-05T23:20:18.2230027Z       |            ^~~~~
2025-06-05T23:20:18.2230832Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2231604Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2232005Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2236346Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2244323Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2252519Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2260062Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2267665Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2275059Z /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)>]’
2025-06-05T23:20:18.2278768Z /pytorch/executorch/kernels/portable/cpu/op_remainder.cpp:130:3:   required from here
2025-06-05T23:20:18.2279667Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2280209Z    94 |     struct array
2025-06-05T23:20:18.2280497Z       |            ^~~~~
2025-06-05T23:20:18.2281354Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2282113Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2282506Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2283195Z [ 81%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_scalar_tensor.cpp.o
2025-06-05T23:20:18.2284122Z [ 81%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_scatter.cpp.o
2025-06-05T23:20:18.2285039Z [ 82%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_scatter_add.cpp.o
2025-06-05T23:20:18.2285955Z [ 82%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_select_copy.cpp.o
2025-06-05T23:20:18.2286895Z [ 82%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_select_scatter.cpp.o
2025-06-05T23:20:18.2287793Z [ 82%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sign.cpp.o
2025-06-05T23:20:18.2288672Z [ 83%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sigmoid.cpp.o
2025-06-05T23:20:18.2289537Z [ 83%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sin.cpp.o
2025-06-05T23:20:18.2290417Z [ 83%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sinh.cpp.o
2025-06-05T23:20:18.2291304Z [ 84%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_slice_copy.cpp.o
2025-06-05T23:20:18.2291908Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.2292274Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.2292656Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.2293047Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.2293536Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:18.2294088Z                  from /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:9:
2025-06-05T23:20:18.2298409Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2306226Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2314283Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2321648Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2329102Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2336869Z /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)>]’
2025-06-05T23:20:18.2340616Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2341519Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2342082Z    94 |     struct array
2025-06-05T23:20:18.2342329Z       |            ^~~~~
2025-06-05T23:20:18.2343212Z /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]’
2025-06-05T23:20:18.2344040Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2344425Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2349053Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2357348Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2366158Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2374223Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2381907Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2389735Z /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)>]’
2025-06-05T23:20:18.2393497Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2394394Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2394970Z    94 |     struct array
2025-06-05T23:20:18.2395214Z       |            ^~~~~
2025-06-05T23:20:18.2396091Z /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]’
2025-06-05T23:20:18.2397348Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2397885Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2402138Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2409950Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2417875Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2425175Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2432688Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2440446Z /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)>]’
2025-06-05T23:20:18.2444171Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2445053Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2445604Z    94 |     struct array
2025-06-05T23:20:18.2445847Z       |            ^~~~~
2025-06-05T23:20:18.2446695Z /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]’
2025-06-05T23:20:18.2447508Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2447900Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2452417Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2460687Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2469568Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2477625Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2485305Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2493066Z /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)>]’
2025-06-05T23:20:18.2496829Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2497719Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2498300Z    94 |     struct array
2025-06-05T23:20:18.2498529Z       |            ^~~~~
2025-06-05T23:20:18.2499427Z /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]’
2025-06-05T23:20:18.2500224Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2500627Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2504807Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2512578Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2516845Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2520555Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2524898Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2528995Z /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)>]’
2025-06-05T23:20:18.2529272Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2529776Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2529865Z    94 |     struct array
2025-06-05T23:20:18.2529947Z       |            ^~~~~
2025-06-05T23:20:18.2530649Z /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]’
2025-06-05T23:20:18.2530837Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2530946Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2535202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2539842Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2544428Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2548501Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2552817Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2556897Z /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)>]’
2025-06-05T23:20:18.2557213Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2557698Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2557800Z    94 |     struct array
2025-06-05T23:20:18.2557878Z       |            ^~~~~
2025-06-05T23:20:18.2558574Z /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]’
2025-06-05T23:20:18.2558750Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2558870Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2562800Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2567213Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2571443Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2575195Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2579449Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2583534Z /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)>]’
2025-06-05T23:20:18.2583811Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2584292Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2584378Z    94 |     struct array
2025-06-05T23:20:18.2584457Z       |            ^~~~~
2025-06-05T23:20:18.2585110Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.2585280Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2585417Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2589739Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2594375Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2598889Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2602844Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2607184Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2611235Z /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)>]’
2025-06-05T23:20:18.2611526Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2611990Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2612092Z    94 |     struct array
2025-06-05T23:20:18.2612171Z       |            ^~~~~
2025-06-05T23:20:18.2612806Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.2612989Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2613097Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2617074Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2621437Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2625694Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2629428Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2633768Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2637863Z /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)>]’
2025-06-05T23:20:18.2638208Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2638700Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2638787Z    94 |     struct array
2025-06-05T23:20:18.2638867Z       |            ^~~~~
2025-06-05T23:20:18.2639564Z /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]’
2025-06-05T23:20:18.2639736Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2639848Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2644067Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2648733Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2653239Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2657244Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2661559Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2665785Z /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)>]’
2025-06-05T23:20:18.2666063Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2666553Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2666654Z    94 |     struct array
2025-06-05T23:20:18.2666733Z       |            ^~~~~
2025-06-05T23:20:18.2667422Z /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]’
2025-06-05T23:20:18.2667691Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2667803Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2671808Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2676442Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2680654Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2684370Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2688632Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2692774Z /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)>]’
2025-06-05T23:20:18.2693060Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2693541Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2693630Z    94 |     struct array
2025-06-05T23:20:18.2693709Z       |            ^~~~~
2025-06-05T23:20:18.2694373Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2694544Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2694650Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2698914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2703547Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2708141Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2712152Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2716418Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2720512Z /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)>]’
2025-06-05T23:20:18.2720789Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2721265Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2721364Z    94 |     struct array
2025-06-05T23:20:18.2721443Z       |            ^~~~~
2025-06-05T23:20:18.2722128Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2722313Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2722447Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2726450Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2730781Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2735027Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2738715Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2743033Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2747156Z /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)>]’
2025-06-05T23:20:18.2747443Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2747968Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2748055Z    94 |     struct array
2025-06-05T23:20:18.2748148Z       |            ^~~~~
2025-06-05T23:20:18.2748828Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2749000Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2749107Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2753380Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2758018Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2762582Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2766648Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2770993Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2775156Z /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)>]’
2025-06-05T23:20:18.2775497Z /pytorch/executorch/kernels/portable/cpu/op_rsub.cpp:52:3:   required from here
2025-06-05T23:20:18.2775985Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2776072Z    94 |     struct array
2025-06-05T23:20:18.2776152Z       |            ^~~~~
2025-06-05T23:20:18.2776818Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2776999Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2777110Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2777584Z [ 84%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_slice_scatter.cpp.o
2025-06-05T23:20:18.2778037Z [ 84%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_softmax.cpp.o
2025-06-05T23:20:18.2778491Z [ 85%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_split_copy.cpp.o
2025-06-05T23:20:18.2778994Z [ 85%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_split_with_sizes_copy.cpp.o
2025-06-05T23:20:18.2779424Z [ 85%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sqrt.cpp.o
2025-06-05T23:20:18.2779557Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.2779678Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.2779852Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.2779967Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.2780227Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:18.2780540Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:18.2780750Z                  from /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:11:
2025-06-05T23:20:18.2784132Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2787952Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2791652Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2794760Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2798456Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2801987Z /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)>]’
2025-06-05T23:20:18.2802281Z /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:20:18.2802756Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2802855Z    94 |     struct array
2025-06-05T23:20:18.2802933Z       |            ^~~~~
2025-06-05T23:20:18.2803584Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2803765Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2803876Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2807585Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2811641Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2815568Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2818978Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2822664Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2826201Z /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)>]’
2025-06-05T23:20:18.2826514Z /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:20:18.2826996Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2827082Z    94 |     struct array
2025-06-05T23:20:18.2827166Z       |            ^~~~~
2025-06-05T23:20:18.2827898Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.2828072Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2828180Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2831580Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2835347Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2839003Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2842241Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2845968Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2849483Z /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)>]’
2025-06-05T23:20:18.2849775Z /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:20:18.2850266Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2850353Z    94 |     struct array
2025-06-05T23:20:18.2850434Z       |            ^~~~~
2025-06-05T23:20:18.2851138Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2851318Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2851426Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2855104Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2859217Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2863166Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2866733Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2870532Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2874030Z /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)>]’
2025-06-05T23:20:18.2874372Z /pytorch/executorch/kernels/portable/cpu/op_sigmoid.cpp:47:3:   required from here
2025-06-05T23:20:18.2874923Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.2875011Z    94 |     struct array
2025-06-05T23:20:18.2875104Z       |            ^~~~~
2025-06-05T23:20:18.2875773Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.2875942Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2876070Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2876537Z [ 86%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_squeeze_copy.cpp.o
2025-06-05T23:20:18.2876966Z [ 86%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_stack.cpp.o
2025-06-05T23:20:18.2877394Z [ 86%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sub.cpp.o
2025-06-05T23:20:18.2877809Z [ 87%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_sum.cpp.o
2025-06-05T23:20:18.2878237Z [ 87%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_t_copy.cpp.o
2025-06-05T23:20:18.2878645Z [ 87%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_tan.cpp.o
2025-06-05T23:20:18.2879078Z [ 88%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_tanh.cpp.o
2025-06-05T23:20:18.2879508Z [ 88%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_to_copy.cpp.o
2025-06-05T23:20:18.2879923Z [ 88%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_topk.cpp.o
2025-06-05T23:20:18.2880399Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_transpose_copy.cpp.o
2025-06-05T23:20:18.2880814Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_tril.cpp.o
2025-06-05T23:20:18.2881233Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_trunc.cpp.o
2025-06-05T23:20:18.2881381Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.2881497Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.2881658Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.2881782Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.2882070Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:11,
2025-06-05T23:20:18.2882259Z                  from /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:9:
2025-06-05T23:20:18.2886764Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2891698Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2896495Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2900760Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2905531Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2910244Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.2910523Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.2911048Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.2911136Z    94 |     struct array
2025-06-05T23:20:18.2911214Z       |            ^~~~~
2025-06-05T23:20:18.2911952Z /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]’
2025-06-05T23:20:18.2912139Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2912250Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2917039Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2922159Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2927292Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2932829Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2937772Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.2942349Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.2942682Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.2943195Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.2943296Z    94 |     struct array
2025-06-05T23:20:18.2943376Z       |            ^~~~~
2025-06-05T23:20:18.2944114Z /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]’
2025-06-05T23:20:18.2944304Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2944412Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2949010Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.2953912Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2958714Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.2962971Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.2967935Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.2972517Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.2972810Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.2973314Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.2973417Z    94 |     struct array
2025-06-05T23:20:18.2973497Z       |            ^~~~~
2025-06-05T23:20:18.2974217Z /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]’
2025-06-05T23:20:18.2974452Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.2974560Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.2979366Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.2984542Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2989669Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.2994194Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.2999034Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3003557Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3003846Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3004344Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3004471Z    94 |     struct array
2025-06-05T23:20:18.3004551Z       |            ^~~~~
2025-06-05T23:20:18.3005270Z /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]’
2025-06-05T23:20:18.3005452Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3005561Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3010005Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3014926Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3019649Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3023848Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3028698Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3033256Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3033542Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3034029Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3034115Z    94 |     struct array
2025-06-05T23:20:18.3034213Z       |            ^~~~~
2025-06-05T23:20:18.3034903Z /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]’
2025-06-05T23:20:18.3035077Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3035195Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3039937Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3045071Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3050126Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3054587Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3059377Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3064116Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3064471Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3064974Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3065064Z    94 |     struct array
2025-06-05T23:20:18.3065158Z       |            ^~~~~
2025-06-05T23:20:18.3065855Z /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]’
2025-06-05T23:20:18.3066025Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3066152Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3070607Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3075445Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3080158Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3084332Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3089103Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3093633Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3093908Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3094380Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3094467Z    94 |     struct array
2025-06-05T23:20:18.3094549Z       |            ^~~~~
2025-06-05T23:20:18.3095193Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:18.3095391Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3095499Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3100284Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3105379Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3110410Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3114935Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3119721Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3124213Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3124488Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3124968Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3125057Z    94 |     struct array
2025-06-05T23:20:18.3125139Z       |            ^~~~~
2025-06-05T23:20:18.3125786Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 2>::_M_elems [2]’
2025-06-05T23:20:18.3125958Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3126069Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3130526Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3135459Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3140178Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3144348Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3149191Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3153754Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3154029Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3154525Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3154614Z    94 |     struct array
2025-06-05T23:20:18.3154724Z       |            ^~~~~
2025-06-05T23:20:18.3155411Z /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]’
2025-06-05T23:20:18.3155598Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3155704Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3160466Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3165796Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3170857Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3175384Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3180131Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3184686Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3185019Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3185521Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3185612Z    94 |     struct array
2025-06-05T23:20:18.3185696Z       |            ^~~~~
2025-06-05T23:20:18.3186391Z /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]’
2025-06-05T23:20:18.3186567Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3186678Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3191207Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3196038Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3200748Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3204965Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3209746Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3214262Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3214539Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3215009Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3215116Z    94 |     struct array
2025-06-05T23:20:18.3215197Z       |            ^~~~~
2025-06-05T23:20:18.3215883Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.3216068Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3216177Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3220982Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3226077Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3231112Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3235612Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3240428Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3244982Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3245255Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3245732Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3245835Z    94 |     struct array
2025-06-05T23:20:18.3245913Z       |            ^~~~~
2025-06-05T23:20:18.3246571Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 2>::_M_elems [2]’
2025-06-05T23:20:18.3246758Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3246869Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3251355Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3256242Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3260996Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3265325Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3270234Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3274824Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3275113Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3275588Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3275723Z    94 |     struct array
2025-06-05T23:20:18.3275803Z       |            ^~~~~
2025-06-05T23:20:18.3276472Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.3276641Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3276759Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3281474Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3286606Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3291640Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3296118Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3300865Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3305380Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:348:47:   required from ‘void torch::executor::native::utils::internal::apply_bitensor_elementwise_fn(const Op&, executorch::runtime::KernelRuntimeContext&, const executorch::runtime::etensor::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)>]’
2025-06-05T23:20:18.3305707Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:57:3:   required from here
2025-06-05T23:20:18.3306188Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 2>’ has no user-provided default constructor
2025-06-05T23:20:18.3306277Z    94 |     struct array
2025-06-05T23:20:18.3306372Z       |            ^~~~~
2025-06-05T23:20:18.3307033Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 2>::_M_elems [2]’
2025-06-05T23:20:18.3307208Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3307332Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3311423Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3315823Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3320134Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3323914Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3328260Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3332388Z /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)>]’
2025-06-05T23:20:18.3332663Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3333183Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3333302Z    94 |     struct array
2025-06-05T23:20:18.3333406Z       |            ^~~~~
2025-06-05T23:20:18.3334155Z /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]’
2025-06-05T23:20:18.3334327Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3334434Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3338717Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3343378Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3347951Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3351990Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3356321Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3360467Z /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)>]’
2025-06-05T23:20:18.3360754Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3361264Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3361395Z    94 |     struct array
2025-06-05T23:20:18.3361476Z       |            ^~~~~
2025-06-05T23:20:18.3362220Z /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]’
2025-06-05T23:20:18.3362402Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3362512Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3366663Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3371155Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3375463Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3379283Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3383560Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3387736Z /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)>]’
2025-06-05T23:20:18.3388036Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3388577Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3388664Z    94 |     struct array
2025-06-05T23:20:18.3388743Z       |            ^~~~~
2025-06-05T23:20:18.3389474Z /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]’
2025-06-05T23:20:18.3389644Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3389751Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3394006Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3398663Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3403199Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3407213Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3411515Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3415612Z /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)>]’
2025-06-05T23:20:18.3415887Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3416383Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3416481Z    94 |     struct array
2025-06-05T23:20:18.3416561Z       |            ^~~~~
2025-06-05T23:20:18.3417273Z /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]’
2025-06-05T23:20:18.3417457Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3417564Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3421542Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3425909Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3430208Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3433907Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3438202Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3442334Z /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)>]’
2025-06-05T23:20:18.3442649Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3443137Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3443227Z    94 |     struct array
2025-06-05T23:20:18.3443317Z       |            ^~~~~
2025-06-05T23:20:18.3444006Z /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]’
2025-06-05T23:20:18.3444178Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3444287Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3448565Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3453227Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3457754Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3461775Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3466269Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3470666Z /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)>]’
2025-06-05T23:20:18.3471000Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3471549Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3471637Z    94 |     struct array
2025-06-05T23:20:18.3471719Z       |            ^~~~~
2025-06-05T23:20:18.3472416Z /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]’
2025-06-05T23:20:18.3472602Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3472711Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3476683Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3480960Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3485157Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3488845Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3493120Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3497208Z /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)>]’
2025-06-05T23:20:18.3497499Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3497960Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3498049Z    94 |     struct array
2025-06-05T23:20:18.3498141Z       |            ^~~~~
2025-06-05T23:20:18.3498802Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.3498979Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3499099Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3503325Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3508014Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3512551Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3516491Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3520752Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3524843Z /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)>]’
2025-06-05T23:20:18.3525148Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3525624Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3525708Z    94 |     struct array
2025-06-05T23:20:18.3525792Z       |            ^~~~~
2025-06-05T23:20:18.3526440Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 1>::_M_elems [1]’
2025-06-05T23:20:18.3526609Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3526715Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3530685Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3535025Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3539274Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3542991Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3547263Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3551425Z /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)>]’
2025-06-05T23:20:18.3551710Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3552198Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3552287Z    94 |     struct array
2025-06-05T23:20:18.3552381Z       |            ^~~~~
2025-06-05T23:20:18.3553067Z /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]’
2025-06-05T23:20:18.3553240Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3553368Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3557604Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3562261Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3567004Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3570983Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3575289Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3579433Z /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)>]’
2025-06-05T23:20:18.3579715Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3580221Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3580313Z    94 |     struct array
2025-06-05T23:20:18.3580395Z       |            ^~~~~
2025-06-05T23:20:18.3581089Z /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]’
2025-06-05T23:20:18.3581265Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3581378Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3585342Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3589745Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3594021Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3597689Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3601985Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3606031Z /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)>]’
2025-06-05T23:20:18.3606350Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3606825Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3606923Z    94 |     struct array
2025-06-05T23:20:18.3607029Z       |            ^~~~~
2025-06-05T23:20:18.3607718Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.3607892Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3608011Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3612226Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3616836Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3621387Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3625363Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3629737Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3633834Z /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)>]’
2025-06-05T23:20:18.3634111Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3634595Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3634681Z    94 |     struct array
2025-06-05T23:20:18.3634758Z       |            ^~~~~
2025-06-05T23:20:18.3635457Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 1>::_M_elems [1]’
2025-06-05T23:20:18.3635633Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3635739Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3639699Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3644079Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3648373Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3652045Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3656347Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3660431Z /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)>]’
2025-06-05T23:20:18.3660769Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3661250Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3661352Z    94 |     struct array
2025-06-05T23:20:18.3661436Z       |            ^~~~~
2025-06-05T23:20:18.3662100Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.3662282Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3662397Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3666727Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3671486Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3676061Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3680068Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3684320Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3688418Z /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)>]’
2025-06-05T23:20:18.3688708Z /pytorch/executorch/kernels/portable/cpu/op_sub.cpp:112:3:   required from here
2025-06-05T23:20:18.3689193Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 1>’ has no user-provided default constructor
2025-06-05T23:20:18.3689279Z    94 |     struct array
2025-06-05T23:20:18.3689358Z       |            ^~~~~
2025-06-05T23:20:18.3690033Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 1>::_M_elems [1]’
2025-06-05T23:20:18.3690205Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3690317Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3690792Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unbind_copy.cpp.o
2025-06-05T23:20:18.3691279Z [ 90%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unfold_copy.cpp.o
2025-06-05T23:20:18.3691744Z [ 90%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unsqueeze_copy.cpp.o
2025-06-05T23:20:18.3692326Z [ 90%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_upsample_bilinear2d.cpp.o
2025-06-05T23:20:18.3692820Z [ 91%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_upsample_nearest2d.cpp.o
2025-06-05T23:20:18.3693233Z [ 91%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_var.cpp.o
2025-06-05T23:20:18.3693730Z [ 91%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_view_as_real_copy.cpp.o
2025-06-05T23:20:18.3694173Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_view_copy.cpp.o
2025-06-05T23:20:18.3694596Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_zeros.cpp.o
2025-06-05T23:20:18.3695029Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_where.cpp.o
2025-06-05T23:20:18.3695596Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realhb_to_bool.cpp.o
2025-06-05T23:20:18.3696213Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realhbbf16_to_floathbf16.cpp.o
2025-06-05T23:20:18.3696731Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/activation_ops_util.cpp.o
2025-06-05T23:20:18.3697267Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realhbf16.cpp.o
2025-06-05T23:20:18.3697765Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/advanced_index_util.cpp.o
2025-06-05T23:20:18.3697915Z In file included from /usr/include/c++/9/tuple:39,
2025-06-05T23:20:18.3698033Z                  from /usr/include/c++/9/functional:54,
2025-06-05T23:20:18.3698193Z                  from /usr/include/c++/9/pstl/glue_algorithm_defs.h:13,
2025-06-05T23:20:18.3698322Z                  from /usr/include/c++/9/algorithm:71,
2025-06-05T23:20:18.3698580Z                  from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/irange.h:7,
2025-06-05T23:20:18.3698879Z                  from /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:11,
2025-06-05T23:20:18.3699085Z                  from /pytorch/executorch/kernels/portable/cpu/op_where.cpp:9:
2025-06-05T23:20:18.3704168Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3709701Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3715081Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3719909Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3725267Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3730358Z /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)>]’
2025-06-05T23:20:18.3730657Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3731167Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3731254Z    94 |     struct array
2025-06-05T23:20:18.3731347Z       |            ^~~~~
2025-06-05T23:20:18.3732084Z /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]’
2025-06-05T23:20:18.3732253Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3732377Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3737670Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3743381Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3749027Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3754100Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3759504Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3764772Z /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)>]’
2025-06-05T23:20:18.3765059Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3765570Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<unsigned char, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3765678Z    94 |     struct array
2025-06-05T23:20:18.3765758Z       |            ^~~~~
2025-06-05T23:20:18.3766495Z /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]’
2025-06-05T23:20:18.3766681Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3766787Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3771926Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3777360Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3782721Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3787536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3792943Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3798067Z /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)>]’
2025-06-05T23:20:18.3798381Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3798892Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3798979Z    94 |     struct array
2025-06-05T23:20:18.3799059Z       |            ^~~~~
2025-06-05T23:20:18.3799781Z /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]’
2025-06-05T23:20:18.3799954Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3800059Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3805376Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3811052Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3816644Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3821648Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3827046Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3832209Z /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)>]’
2025-06-05T23:20:18.3832530Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3833033Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<signed char, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3833119Z    94 |     struct array
2025-06-05T23:20:18.3833212Z       |            ^~~~~
2025-06-05T23:20:18.3833922Z /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]’
2025-06-05T23:20:18.3834092Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3834216Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3839243Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3844643Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3849982Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3854737Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3860079Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3865296Z /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)>]’
2025-06-05T23:20:18.3865661Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3866153Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3866242Z    94 |     struct array
2025-06-05T23:20:18.3866336Z       |            ^~~~~
2025-06-05T23:20:18.3867030Z /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]’
2025-06-05T23:20:18.3867207Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3867327Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3872632Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3878330Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3883918Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3888988Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3894329Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3899370Z /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)>]’
2025-06-05T23:20:18.3899712Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3900205Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<short int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3900303Z    94 |     struct array
2025-06-05T23:20:18.3900386Z       |            ^~~~~
2025-06-05T23:20:18.3901076Z /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]’
2025-06-05T23:20:18.3901260Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3901376Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3906338Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3911753Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3917025Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3921807Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3927151Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3932185Z /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)>]’
2025-06-05T23:20:18.3932526Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3933028Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3933116Z    94 |     struct array
2025-06-05T23:20:18.3933196Z       |            ^~~~~
2025-06-05T23:20:18.3933826Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:20:18.3934005Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3934114Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3939394Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.3945051Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3950629Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.3955669Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.3960974Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.3966132Z /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)>]’
2025-06-05T23:20:18.3966486Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3966954Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3967088Z    94 |     struct array
2025-06-05T23:20:18.3967200Z       |            ^~~~~
2025-06-05T23:20:18.3967849Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘int std::array<int, 3>::_M_elems [3]’
2025-06-05T23:20:18.3968023Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.3968131Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.3973137Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.3978496Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3983747Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.3988581Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.3993880Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.3998980Z /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)>]’
2025-06-05T23:20:18.3999277Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.3999762Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.3999849Z    94 |     struct array
2025-06-05T23:20:18.3999972Z       |            ^~~~~
2025-06-05T23:20:18.4000657Z /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]’
2025-06-05T23:20:18.4000827Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4000998Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4006247Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.4011906Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4017446Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4022502Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.4027875Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.4032961Z /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)>]’
2025-06-05T23:20:18.4033256Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4033736Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<long int, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4033834Z    94 |     struct array
2025-06-05T23:20:18.4033917Z       |            ^~~~~
2025-06-05T23:20:18.4034593Z /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]’
2025-06-05T23:20:18.4034805Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4034916Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4039923Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.4045264Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4050522Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4055215Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.4060939Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.4066169Z /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)>]’
2025-06-05T23:20:18.4066459Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4066947Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4067048Z    94 |     struct array
2025-06-05T23:20:18.4067126Z       |            ^~~~~
2025-06-05T23:20:18.4067833Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:20:18.4068022Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4068130Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4073461Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.4079151Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4084726Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4089738Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.4095144Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.4100179Z /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)>]’
2025-06-05T23:20:18.4100467Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4100949Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<float, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4101039Z    94 |     struct array
2025-06-05T23:20:18.4101120Z       |            ^~~~~
2025-06-05T23:20:18.4101786Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘float std::array<float, 3>::_M_elems [3]’
2025-06-05T23:20:18.4101956Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4102064Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4107113Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.4112613Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4117890Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4122588Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.4127984Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.4133072Z /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)>]’
2025-06-05T23:20:18.4133370Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4133851Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4133941Z    94 |     struct array
2025-06-05T23:20:18.4134020Z       |            ^~~~~
2025-06-05T23:20:18.4134697Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:20:18.4134875Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4134983Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4140316Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.4146008Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4151650Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4156632Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:18.4161975Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:18.4167179Z /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)>]’
2025-06-05T23:20:18.4167484Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4167966Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<double, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4168052Z    94 |     struct array
2025-06-05T23:20:18.4168144Z       |            ^~~~~
2025-06-05T23:20:18.4168810Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘double std::array<double, 3>::_M_elems [3]’
2025-06-05T23:20:18.4168981Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4169098Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4174057Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘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]’:
2025-06-05T23:20:18.4179524Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4184795Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = 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)>; int64_t = long int]’
2025-06-05T23:20:18.4189536Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:77:40:   required from ‘void 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>}]’
2025-06-05T23:20:18.4194910Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:241:39:   required 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>}]’
2025-06-05T23:20:18.4200024Z /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)>]’
2025-06-05T23:20:18.4200325Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:18.4200795Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:20:18.4200901Z    94 |     struct array
2025-06-05T23:20:18.4200980Z       |            ^~~~~
2025-06-05T23:20:18.4201625Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:20:18.4201808Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:18.4201915Z       |                                                        ^~~~~~~~
2025-06-05T23:20:18.4207160Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h: In instantiation of ‘torch::executor::native::utils::internal::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]’:
2025-06-05T23:20:18.4212840Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:43:4:   required from ‘bool executorch::extension::internal::parallel_for_no_threadpool(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4218461Z /pytorch/executorch/../executorch/runtime/kernel/thread_parallel_interface.h:85:46:   required from ‘bool executorch::extension::parallel_for(int64_t, int64_t, int64_t, const Func&) [with Func = torch::executor::native::utils::internal::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)>; int64_t = long int]’
2025-06-05T23:20:18.4223450Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:160:40:   required from ‘void torch::executor::native::utils::internal::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>}]’
2025-06-05T23:20:19.8921708Z /pytorch/executorch/../executorch/kernels/portable/cpu/util/elementwise_util.h:248:37:   required 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>}]’
2025-06-05T23:20:19.8941089Z /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)>]’
2025-06-05T23:20:19.8950511Z /pytorch/executorch/kernels/portable/cpu/op_where.cpp:45:3:   required from here
2025-06-05T23:20:19.8952233Z /usr/include/c++/9/array:94:12: note: ‘struct std::array<bool, 3>’ has no user-provided default constructor
2025-06-05T23:20:19.8953246Z    94 |     struct array
2025-06-05T23:20:19.8953647Z       |            ^~~~~
2025-06-05T23:20:19.8955179Z /usr/include/c++/9/array:110:56: note: and the implicitly-defined constructor does not initialize ‘bool std::array<bool, 3>::_M_elems [3]’
2025-06-05T23:20:19.8956605Z   110 |       typename _AT_Type::_Type                         _M_elems;
2025-06-05T23:20:19.8957326Z       |                                                        ^~~~~~~~
2025-06-05T23:20:19.8958691Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/broadcast_util.cpp.o
2025-06-05T23:20:19.8960562Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/copy_ops_util.cpp.o
2025-06-05T23:20:19.8962498Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/delinearize_index.cpp.o
2025-06-05T23:20:19.8964504Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/distance_util.cpp.o
2025-06-05T23:20:19.8966307Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/dtype_util.cpp.o
2025-06-05T23:20:19.8968135Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/index_util.cpp.o
2025-06-05T23:20:19.8970000Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/kernel_ops_util.cpp.o
2025-06-05T23:20:19.8971831Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/matmul_ops_util.cpp.o
2025-06-05T23:20:19.8973758Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/normalization_ops_util.cpp.o
2025-06-05T23:20:19.8975726Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/padding_util.cpp.o
2025-06-05T23:20:19.8977670Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/reduce_util.cpp.o
2025-06-05T23:20:19.8979486Z [ 98%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/repeat_util.cpp.o
2025-06-05T23:20:19.8981535Z [ 98%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-06-05T23:20:19.8983353Z [ 98%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-06-05T23:20:19.8985195Z [ 99%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-06-05T23:20:19.8986627Z [ 99%] Linking CXX static library libportable_kernels.a
2025-06-05T23:20:19.8987338Z [ 99%] Built target portable_kernels
2025-06-05T23:20:19.8988328Z [100%] Generating selected_operators.yaml for portable_ops_lib
2025-06-05T23:20:19.8989337Z [100%] Generating code for kernel registration
2025-06-05T23:20:19.8991126Z [100%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-06-05T23:20:19.8992929Z [100%] Linking CXX static library libportable_ops_lib.a
2025-06-05T23:20:19.8993643Z [100%] Built target portable_ops_lib
2025-06-05T23:20:19.8994298Z Install the project...
2025-06-05T23:20:19.8994791Z -- Install configuration: "Release"
2025-06-05T23:20:19.8995507Z -- Installing: /pytorch/executorch/cmake-out/lib/libflatccrt.a
2025-06-05T23:20:19.8996354Z -- Installing: /pytorch/executorch/cmake-out/include/fxdiv.h
2025-06-05T23:20:19.8997308Z -- Installing: /pytorch/executorch/cmake-out/share/cpuinfo/cpuinfo-config.cmake
2025-06-05T23:20:19.8998360Z -- Installing: /pytorch/executorch/cmake-out/lib/libcpuinfo.a
2025-06-05T23:20:19.8999305Z -- Installing: /pytorch/executorch/cmake-out/include/cpuinfo.h
2025-06-05T23:20:19.9000329Z -- Installing: /pytorch/executorch/cmake-out/share/cpuinfo/cpuinfo-targets.cmake
2025-06-05T23:20:19.9001591Z -- Installing: /pytorch/executorch/cmake-out/share/cpuinfo/cpuinfo-targets-release.cmake
2025-06-05T23:20:19.9002746Z -- Installing: /pytorch/executorch/cmake-out/lib/pkgconfig/libcpuinfo.pc
2025-06-05T23:20:19.9003697Z -- Installing: /pytorch/executorch/cmake-out/include/pthreadpool.h
2025-06-05T23:20:19.9004639Z -- Installing: /pytorch/executorch/cmake-out/lib/libpthreadpool.a
2025-06-05T23:20:19.9005586Z -- Installing: /pytorch/executorch/cmake-out/lib/libportable_kernels.a
2025-06-05T23:20:19.9006578Z -- Installing: /pytorch/executorch/cmake-out/lib/libportable_ops_lib.a
2025-06-05T23:20:19.9007773Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/portable/Functions.h
2025-06-05T23:20:19.9009192Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/portable/NativeFunctions.h
2025-06-05T23:20:19.9010514Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core
2025-06-05T23:20:19.9011706Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/array_ref.h
2025-06-05T23:20:19.9013035Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/data_loader.h
2025-06-05T23:20:19.9014347Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/defines.h
2025-06-05T23:20:19.9015588Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/error.h
2025-06-05T23:20:19.9016798Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/evalue.h
2025-06-05T23:20:19.9018075Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/event_tracer.h
2025-06-05T23:20:19.9019479Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/event_tracer_hooks.h
2025-06-05T23:20:19.9021077Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/event_tracer_hooks_delegate.h
2025-06-05T23:20:19.9022544Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten
2025-06-05T23:20:19.9024002Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/exec_aten.h
2025-06-05T23:20:19.9025482Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/testing_util
2025-06-05T23:20:19.9027292Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h
2025-06-05T23:20:19.9029151Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h
2025-06-05T23:20:19.9030863Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/testing_util/test
2025-06-05T23:20:19.9032330Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util
2025-06-05T23:20:19.9033801Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/dim_order_util.h
2025-06-05T23:20:19.9035362Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h
2025-06-05T23:20:19.9036998Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h
2025-06-05T23:20:19.9038855Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h
2025-06-05T23:20:19.9040669Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/tensor_util.h
2025-06-05T23:20:19.9041591Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/test
2025-06-05T23:20:19.9042340Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/freeable_buffer.h
2025-06-05T23:20:19.9043160Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/function_ref.h
2025-06-05T23:20:19.9043924Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/hierarchical_allocator.h
2025-06-05T23:20:19.9044727Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/memory_allocator.h
2025-06-05T23:20:19.9045477Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/named_data_map.h
2025-06-05T23:20:19.9046195Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type
2025-06-05T23:20:19.9046971Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/bfloat16.h
2025-06-05T23:20:19.9047811Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/bfloat16_math.h
2025-06-05T23:20:19.9048666Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/bits_types.h
2025-06-05T23:20:19.9049462Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10
2025-06-05T23:20:19.9050227Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10
2025-06-05T23:20:19.9051055Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-06-05T23:20:19.9051943Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h
2025-06-05T23:20:19.9052892Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h
2025-06-05T23:20:19.9053779Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util
2025-06-05T23:20:19.9054676Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h
2025-06-05T23:20:19.9055661Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h
2025-06-05T23:20:19.9056617Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h
2025-06-05T23:20:19.9057588Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h
2025-06-05T23:20:19.9058509Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h
2025-06-05T23:20:19.9059522Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h
2025-06-05T23:20:19.9060507Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h
2025-06-05T23:20:19.9061428Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h
2025-06-05T23:20:19.9062414Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h
2025-06-05T23:20:19.9063457Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h
2025-06-05T23:20:19.9065117Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h
2025-06-05T23:20:19.9066204Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h
2025-06-05T23:20:19.9067112Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/complex.h
2025-06-05T23:20:19.9068162Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/device.h
2025-06-05T23:20:19.9075284Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/half.h
2025-06-05T23:20:19.9076245Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/optional.h
2025-06-05T23:20:19.9077203Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/qint_types.h
2025-06-05T23:20:19.9078039Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/scalar.h
2025-06-05T23:20:19.9078879Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/scalar_type.h
2025-06-05T23:20:19.9079723Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/string_view.h
2025-06-05T23:20:19.9080562Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/tensor.h
2025-06-05T23:20:19.9081380Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/tensor_impl.h
2025-06-05T23:20:19.9082248Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/tensor_options.h
2025-06-05T23:20:19.9083073Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/test
2025-06-05T23:20:19.9083781Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/result.h
2025-06-05T23:20:19.9084442Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/span.h
2025-06-05T23:20:19.9085080Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/tag.h
2025-06-05T23:20:19.9085764Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/tensor_layout.h
2025-06-05T23:20:19.9086539Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/tensor_shape_dynamism.h
2025-06-05T23:20:19.9087252Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/test
2025-06-05T23:20:19.9087874Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel
2025-06-05T23:20:19.9088553Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/kernel_includes.h
2025-06-05T23:20:19.9089363Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/kernel_runtime_context.h
2025-06-05T23:20:19.9090187Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/operator_registry.h
2025-06-05T23:20:19.9090950Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/test
2025-06-05T23:20:19.9091657Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/test/test_util.h
2025-06-05T23:20:19.9092461Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/kernel/thread_parallel_interface.h
2025-06-05T23:20:19.9093297Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform
2025-06-05T23:20:19.9093948Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/abort.h
2025-06-05T23:20:19.9094653Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/assert.h
2025-06-05T23:20:19.9095355Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/clock.h
2025-06-05T23:20:19.9096077Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/compat_unistd.h
2025-06-05T23:20:19.9096837Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/compiler.h
2025-06-05T23:20:19.9097534Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/default
2025-06-05T23:20:19.9098219Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/log.h
2025-06-05T23:20:19.9098915Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/platform.h
2025-06-05T23:20:19.9099623Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/profiler.h
2025-06-05T23:20:19.9100341Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/runtime.h
2025-06-05T23:20:19.9101034Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/system.h
2025-06-05T23:20:19.9101718Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/test
2025-06-05T23:20:19.9102456Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/test/pal_spy.h
2025-06-05T23:20:19.9103242Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/test/stub_platform.h
2025-06-05T23:20:19.9104001Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/platform/types.h
2025-06-05T23:20:19.9104665Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/kernel_util
2025-06-05T23:20:19.9105502Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h
2025-06-05T23:20:19.9106415Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/kernel_util/meta_programming.h
2025-06-05T23:20:19.9107193Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/kernel_util/test
2025-06-05T23:20:19.9108568Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/kernel_util/type_list.h
2025-06-05T23:20:19.9109273Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor
2025-06-05T23:20:19.9109947Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor.h
2025-06-05T23:20:19.9110690Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor_accessor.h
2025-06-05T23:20:19.9111464Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor_ptr.h
2025-06-05T23:20:19.9112244Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor_ptr_maker.h
2025-06-05T23:20:19.9112969Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/test
2025-06-05T23:20:19.9113629Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool
2025-06-05T23:20:20.9100860Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/cpuinfo_utils.h
2025-06-05T23:20:20.9101727Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/test
2025-06-05T23:20:20.9102478Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/threadpool.h
2025-06-05T23:20:20.9103457Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/threadpool_guard.h
2025-06-05T23:20:20.9104125Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch.a
2025-06-05T23:20:20.9104710Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch_core.a
2025-06-05T23:20:20.9105387Z -- Installing: /pytorch/executorch/cmake-out/lib/cmake/ExecuTorch/executorch-config.cmake
2025-06-05T23:20:20.9106026Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_threadpool.a
2025-06-05T23:20:20.9106499Z -- The C compiler identification is GNU 9.5.0
2025-06-05T23:20:20.9106849Z -- The CXX compiler identification is GNU 9.5.0
2025-06-05T23:20:20.9107193Z -- Detecting C compiler ABI info
2025-06-05T23:20:20.9107483Z -- Detecting C compiler ABI info - done
2025-06-05T23:20:20.9107981Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-06-05T23:20:20.9108350Z -- Detecting C compile features
2025-06-05T23:20:20.9108661Z -- Detecting C compile features - done
2025-06-05T23:20:20.9108983Z -- Detecting CXX compiler ABI info
2025-06-05T23:20:20.9109283Z -- Detecting CXX compiler ABI info - done
2025-06-05T23:20:20.9109678Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-06-05T23:20:20.9110057Z -- Detecting CXX compile features
2025-06-05T23:20:20.9110364Z -- Detecting CXX compile features - done
2025-06-05T23:20:20.9111001Z CMake Warning (dev) at CMakeLists.txt:29 (find_package):
2025-06-05T23:20:20.9111517Z   Policy CMP0144 is not set: find_package uses upper-case <PACKAGENAME>_ROOT
2025-06-05T23:20:20.9112063Z   variables.  Run "cmake --help-policy CMP0144" for policy details.  Use the
2025-06-05T23:20:20.9112599Z   cmake_policy command to set the policy and suppress this warning.
2025-06-05T23:20:20.9112907Z 
2025-06-05T23:20:20.9113098Z   CMake variable EXECUTORCH_ROOT is set to:
2025-06-05T23:20:20.9113313Z 
2025-06-05T23:20:20.9113416Z     /pytorch/executorch/test/..
2025-06-05T23:20:20.9113611Z 
2025-06-05T23:20:20.9113832Z   For compatibility, find_package is ignoring the variable, but code in a
2025-06-05T23:20:20.9114256Z   .cmake module might still use it.
2025-06-05T23:20:20.9114662Z This warning is for project developers.  Use -Wno-dev to suppress it.
2025-06-05T23:20:20.9115092Z 
2025-06-05T23:20:20.9115338Z etdump library is not found.
2025-06-05T23:20:20.9115803Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9116263Z bundled_program library is not found.
2025-06-05T23:20:20.9116744Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9117220Z extension_data_loader library is not found.
2025-06-05T23:20:20.9117722Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9118197Z extension_flat_tensor library is not found.
2025-06-05T23:20:20.9118695Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9119156Z coreml_util library is not found.
2025-06-05T23:20:20.9119605Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9120073Z coreml_inmemoryfs library is not found.
2025-06-05T23:20:20.9120542Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9121002Z coremldelegate library is not found.
2025-06-05T23:20:20.9121471Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9121961Z mpsdelegate library is not found.
2025-06-05T23:20:20.9122425Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9122869Z neuron_backend library is not found.
2025-06-05T23:20:20.9123342Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9123829Z qnn_executorch_backend library is not found.
2025-06-05T23:20:20.9124318Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9124806Z custom_ops library is not found.
2025-06-05T23:20:20.9125255Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9125724Z extension_module library is not found.
2025-06-05T23:20:20.9126226Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9126747Z extension_module_static library is not found.
2025-06-05T23:20:20.9127241Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9127726Z extension_runner_util library is not found.
2025-06-05T23:20:20.9128225Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9128680Z extension_tensor library is not found.
2025-06-05T23:20:20.9129161Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9129622Z extension_training library is not found.
2025-06-05T23:20:20.9130109Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9130560Z xnnpack_backend library is not found.
2025-06-05T23:20:20.9131037Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9131485Z XNNPACK library is not found.
2025-06-05T23:20:20.9131925Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9132399Z microkernels-prod library is not found.
2025-06-05T23:20:20.9132873Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9133317Z kleidiai library is not found.
2025-06-05T23:20:20.9133762Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9134222Z vulkan_backend library is not found.
2025-06-05T23:20:20.9134726Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9135184Z optimized_kernels library is not found.
2025-06-05T23:20:20.9135666Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9136160Z optimized_portable_kernels library is not found.
2025-06-05T23:20:20.9136680Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9137121Z cpublas library is not found.
2025-06-05T23:20:20.9137579Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9138016Z eigen_blas library is not found.
2025-06-05T23:20:20.9138480Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9138950Z optimized_ops_lib library is not found.
2025-06-05T23:20:20.9139416Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9139929Z optimized_native_cpu_ops_lib library is not found.
2025-06-05T23:20:20.9140437Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9140910Z quantized_kernels library is not found.
2025-06-05T23:20:20.9141375Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9141851Z quantized_ops_lib library is not found.
2025-06-05T23:20:20.9142313Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9142796Z quantized_ops_aot_lib library is not found.
2025-06-05T23:20:20.9143286Z             If needed rebuild with the proper options in CMakeLists.txt
2025-06-05T23:20:20.9143887Z -- executorch: Using source file list /pytorch/executorch/cmake-out/test/../executorch_srcs.cmake
2025-06-05T23:20:20.9144414Z -- Configuring done (0.4s)
2025-06-05T23:20:20.9144668Z -- Generating done (0.0s)
2025-06-05T23:20:20.9145035Z -- Build files have been written to: /pytorch/executorch/cmake-out/test
2025-06-05T23:20:20.9145424Z Build size test
2025-06-05T23:20:20.9146098Z [ 16%] Building CXX object CMakeFiles/size_test.dir/pytorch/executorch/extension/data_loader/file_data_loader.cpp.o
2025-06-05T23:20:20.9146956Z [ 33%] Building CXX object CMakeFiles/size_test.dir/size_test.cpp.o
2025-06-05T23:20:20.9147918Z [ 50%] Building CXX object CMakeFiles/size_test_all_ops.dir/pytorch/executorch/extension/data_loader/file_data_loader.cpp.o
2025-06-05T23:20:20.9148882Z [ 66%] Building CXX object CMakeFiles/size_test_all_ops.dir/size_test.cpp.o
2025-06-05T23:20:20.9149623Z [ 83%] Linking CXX executable size_test_all_ops
2025-06-05T23:20:20.9150333Z [100%] Linking CXX executable size_test
2025-06-05T23:20:20.9150868Z [100%] Built target size_test
2025-06-05T23:20:20.9151328Z [100%] Built target size_test_all_ops
2025-06-05T23:20:20.9151840Z ExecuTorch with no ops binary size, unstripped:
2025-06-05T23:20:20.9152336Z -rwxr-xr-x. 1 ci-user ci-user 79160 Jun  5 23:20 cmake-out/test/size_test
2025-06-05T23:20:20.9152819Z ExecuTorch with portable ops binary size, unstripped:
2025-06-05T23:20:20.9153303Z -rwxr-xr-x. 1 ci-user ci-user 1912896 Jun  5 23:20 cmake-out/test/size_test_all_ops
2025-06-05T23:20:20.9153758Z + strip cmake-out/test/size_test
2025-06-05T23:20:20.9154041Z ++ ls -la cmake-out/test/size_test
2025-06-05T23:20:20.9154462Z + output='-rwxr-xr-x. 1 ci-user ci-user 55584 Jun  5 23:20 cmake-out/test/size_test'
2025-06-05T23:20:20.9154888Z + arr=($output)
2025-06-05T23:20:20.9155104Z + size=55584
2025-06-05T23:20:20.9155317Z + threshold=55584
2025-06-05T23:20:20.9155530Z + [[ 55584 -le 55584 ]]
2025-06-05T23:20:20.9155770Z + echo 'Success 55584 <= 55584'
2025-06-05T23:20:20.9156020Z Success 55584 <= 55584
2025-06-05T23:20:20.9195325Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1
2025-06-05T23:20:20.9195828Z with:
2025-06-05T23:20:20.9196114Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:20.9196495Z   fail-on-empty: false
2025-06-05T23:20:20.9196712Z env:
2025-06-05T23:20:20.9196944Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:20.9197285Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:20.9197543Z   PR_NUMBER: 
2025-06-05T23:20:20.9199940Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:20.9202492Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:20.9203054Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:20.9203590Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:20.9203966Z ##[endgroup]
2025-06-05T23:20:20.9767050Z Prepare all required actions
2025-06-05T23:20:20.9803514Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-06-05T23:20:20.9803875Z with:
2025-06-05T23:20:20.9804217Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-06-05T23:20:20.9804748Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:20:20.9805157Z env:
2025-06-05T23:20:20.9805390Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:20.9805711Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:20.9805982Z   PR_NUMBER: 
2025-06-05T23:20:20.9808398Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:20.9811114Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:20.9811688Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:20.9812211Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:20.9812588Z ##[endgroup]
2025-06-05T23:20:20.9835133Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:20:20.9835832Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:20:20.9843358Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:20:20.9843731Z env:
2025-06-05T23:20:20.9843973Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:20.9844317Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:20.9844584Z   PR_NUMBER: 
2025-06-05T23:20:20.9846936Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:20.9849483Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:20.9850072Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:20.9850596Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:20.9851110Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:20:20.9851659Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-06-05T23:20:20.9852064Z ##[endgroup]
2025-06-05T23:20:21.0162937Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-06-05T23:20:21.2399719Z latest: Pulling from tool/alpine
2025-06-05T23:20:21.2400161Z 540db60ca938: Pulling fs layer
2025-06-05T23:20:21.3452016Z 540db60ca938: Verifying Checksum
2025-06-05T23:20:21.3452384Z 540db60ca938: Download complete
2025-06-05T23:20:21.4248176Z 540db60ca938: Pull complete
2025-06-05T23:20:21.4355727Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-06-05T23:20:21.4395648Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-06-05T23:20:23.2335556Z Prepare all required actions
2025-06-05T23:20:23.2361679Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-06-05T23:20:23.2362044Z with:
2025-06-05T23:20:23.2362315Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-06-05T23:20:23.2362796Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:20:23.2363199Z env:
2025-06-05T23:20:23.2363433Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:23.2363964Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:23.2364246Z   PR_NUMBER: 
2025-06-05T23:20:23.2366653Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:23.2369373Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:23.2369967Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:23.2370513Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:23.2370878Z ##[endgroup]
2025-06-05T23:20:23.2389026Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:20:23.2389723Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-06-05T23:20:23.2397829Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:20:23.2398201Z env:
2025-06-05T23:20:23.2398457Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:23.2398800Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:23.2399067Z   PR_NUMBER: 
2025-06-05T23:20:23.2401441Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:23.2404023Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:23.2404606Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:23.2405131Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:23.2405647Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-06-05T23:20:23.2406132Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-06-05T23:20:23.2406462Z ##[endgroup]
2025-06-05T23:20:24.0561089Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-06-05T23:20:24.0561688Z # Only do these steps if we actually want to upload an artifact
2025-06-05T23:20:24.0562125Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-06-05T23:20:24.0562667Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-06-05T23:20:24.0563273Z   # attempt to just grab whatever is in there and scoop it all up
2025-06-05T23:20:24.0563982Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-06-05T23:20:24.0564416Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-06-05T23:20:24.0564736Z   fi
2025-06-05T23:20:24.0565009Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-06-05T23:20:24.0565464Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-06-05T23:20:24.0565838Z   fi
2025-06-05T23:20:24.0566071Z fi
2025-06-05T23:20:24.0566272Z 
2025-06-05T23:20:24.0566478Z upload_docs=0
2025-06-05T23:20:24.0566857Z # Check if there are files in the documentation folder to upload, note that
2025-06-05T23:20:24.0567310Z # empty folders do not count
2025-06-05T23:20:24.0567743Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-06-05T23:20:24.0568335Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-06-05T23:20:24.0568899Z   # upload will probably not work correctly
2025-06-05T23:20:24.0569243Z   upload_docs=1
2025-06-05T23:20:24.0569494Z fi
2025-06-05T23:20:24.0569791Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-06-05T23:20:24.0575573Z shell: /usr/bin/bash -e {0}
2025-06-05T23:20:24.0575824Z env:
2025-06-05T23:20:24.0576073Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:24.0576402Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:24.0576674Z   PR_NUMBER: 
2025-06-05T23:20:24.0579027Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:24.0581559Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:24.0582132Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:24.0582668Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:24.0583044Z   UPLOAD_ARTIFACT_NAME: 
2025-06-05T23:20:24.0583289Z ##[endgroup]
2025-06-05T23:20:24.0710040Z Prepare all required actions
2025-06-05T23:20:24.0744228Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-06-05T23:20:24.0744571Z with:
2025-06-05T23:20:24.0744762Z env:
2025-06-05T23:20:24.0744987Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:24.0745325Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:24.0745595Z   PR_NUMBER: 
2025-06-05T23:20:24.0748198Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:24.0750768Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:24.0751341Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:24.0751881Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:24.0752249Z ##[endgroup]
2025-06-05T23:20:24.0788806Z ##[group]Run set -eou pipefail
2025-06-05T23:20:24.0789121Z set -eou pipefail
2025-06-05T23:20:24.0789377Z 
2025-06-05T23:20:24.0789718Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-06-05T23:20:24.0790183Z for _ in $(seq 1440); do
2025-06-05T23:20:24.0790493Z     # Break if no ssh session exists anymore
2025-06-05T23:20:24.0790832Z     if [ "$(who)" = "" ]; then
2025-06-05T23:20:24.0791122Z       break
2025-06-05T23:20:24.0791334Z     fi
2025-06-05T23:20:24.0791560Z     echo "."
2025-06-05T23:20:24.0791779Z     sleep 5
2025-06-05T23:20:24.0792001Z done
2025-06-05T23:20:24.0797270Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:20:24.0797630Z env:
2025-06-05T23:20:24.0797862Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:24.0798196Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:24.0798549Z   PR_NUMBER: 
2025-06-05T23:20:24.0800899Z   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}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:24.0803496Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:24.0804071Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:24.0804600Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:24.0804980Z ##[endgroup]
2025-06-05T23:20:24.0826424Z Holding runner for 2 hours until all ssh sessions have logged out
2025-06-05T23:20:24.0905090Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:20:24.0905659Z # ignore expansion of "docker ps -q" since it could be empty
2025-06-05T23:20:24.0906077Z # shellcheck disable=SC2046
2025-06-05T23:20:24.0906387Z docker stop $(docker ps -q) || true
2025-06-05T23:20:24.0906720Z # Prune all of the docker images
2025-06-05T23:20:24.0907172Z docker system prune -af
2025-06-05T23:20:24.0912560Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:20:24.0912912Z env:
2025-06-05T23:20:24.0913152Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:24.0913475Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:24.0913745Z   PR_NUMBER: 
2025-06-05T23:20:24.0916087Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:24.0918650Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:24.0919213Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:24.0919750Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:24.0920110Z ##[endgroup]
2025-06-05T23:20:34.6628659Z f84d3c87804c
2025-06-05T23:20:34.8848704Z Deleted Containers:
2025-06-05T23:20:34.8849240Z f84d3c87804ca7c83dd6324f81ff328317aa1bcf08d07fda16f61c12e99b360c
2025-06-05T23:20:34.8849598Z 
2025-06-05T23:20:37.8188624Z Deleted Images:
2025-06-05T23:20:37.8189800Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa
2025-06-05T23:20:37.8191076Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc9@sha256:7e1783dcb1f1e2cd2c9de40793b54670901c31f2bd82ded9e3245b8c7fc8e335
2025-06-05T23:20:37.8192125Z deleted: sha256:42decea3c25abb6838d54569767446361257d89de818cf9439800ba025d1a8e3
2025-06-05T23:20:37.8192765Z deleted: sha256:7711331006d6773af23933cc12964a05c3aaf2a120da80e8a8ceedd52abc6177
2025-06-05T23:20:37.8193378Z deleted: sha256:836525437084314040701db7d18f9b0d7b0ebd24d015684acdcd47ad0548abcb
2025-06-05T23:20:37.8194016Z deleted: sha256:ea761a0abf20c5d75e196ec1d1acaa2823976e7b88dbcd885c2e823c38609df6
2025-06-05T23:20:37.8194838Z deleted: sha256:5ac8417f891d98ee09a7bdbdff7363ef83808bb162fc9066c7c91e89890c2dd5
2025-06-05T23:20:37.8195472Z deleted: sha256:07db196724fa827984065648211f864e6bc424ad4eeddcd8c3107af14e8ea946
2025-06-05T23:20:37.8196107Z deleted: sha256:7b6d0e5275c6d84c2f6a02161dea92a57c15ebbdbdc753375559bee6af1e28a1
2025-06-05T23:20:37.8196888Z deleted: sha256:21aae893aff3e181a4cfc0dcbf8c5876a12ca7cae8a883c3365232dcaa45bab3
2025-06-05T23:20:37.8197538Z deleted: sha256:0c4c1a1a0994fbda7387e171861485696e3b5fd446b9155741664cc5a96d76a3
2025-06-05T23:20:37.8198172Z deleted: sha256:b9ba988acaf283703a7d27444a9b8733dbdd7dafa6e12e5131d2df61f9556f94
2025-06-05T23:20:37.8198815Z deleted: sha256:9e5cc24999527333c09e173e88bbd03f0bcc6b9d17322ba3fcd9c587b8bf802f
2025-06-05T23:20:37.8199443Z deleted: sha256:99d06e3e95e9577c81fa03545afdda82958be2e92c4bdb7bebf930a82c1e31e3
2025-06-05T23:20:37.8200115Z deleted: sha256:8966aab51cbe89a4abd64f49f6324ec9d79fd709d5ee14b33fcc0dbfa6abfd35
2025-06-05T23:20:37.8200769Z deleted: sha256:0ad0db609ad48f61e48fce354685fc03f339f76cd38c68a69c6e3d0d64ed7447
2025-06-05T23:20:37.8201400Z deleted: sha256:5bc21d5fb9c495bd50962469c4b910c90d3fc80b904677d9013e2679d635ad4f
2025-06-05T23:20:37.8202038Z deleted: sha256:bf4e0bd93da370ce0175373c287a923762594b9fefc85a650092830b1c254c72
2025-06-05T23:20:37.8202666Z deleted: sha256:02302083e5adf419fa3499607ee3c99de5be7749e6fc3cf2dfd4f3667fbd545a
2025-06-05T23:20:37.8203297Z deleted: sha256:e87262ac2b07ffb1626872149c0e0f594557599ff3456fd8568b28f86c36bddb
2025-06-05T23:20:37.8203922Z deleted: sha256:224954363a13ceba6c787bce2deffa6d25f1179d6286a3ae223d99b06d108eec
2025-06-05T23:20:37.8204702Z deleted: sha256:81541b80554a9309afd0a21664158ce626d9cf66ba512abec834c09f46e8a675
2025-06-05T23:20:37.8205336Z deleted: sha256:29f3b17588db2a80186b982ce4a44105e7f7b23085a8b9871c50404c047b743b
2025-06-05T23:20:37.8205956Z deleted: sha256:ea505e08b718e26c8dd44cec572016a22bd6073ce75212846f9a37ade19b7e33
2025-06-05T23:20:37.8206596Z deleted: sha256:a955e9f5e87c466841a2e8f5347a089b6bb18127264301308df3fcaf0f764fe1
2025-06-05T23:20:37.8207229Z deleted: sha256:9094abdd3e429b2c1eff0baf7d363f4da65cb3378f2f6221181f93f3ef7dbd50
2025-06-05T23:20:37.8207877Z deleted: sha256:d40b3138bcf4d8d14599210c7be8d2133d388801b8a80293f8550e7a59db9e46
2025-06-05T23:20:37.8208499Z deleted: sha256:a9806259c3f46ea4a8565e14f33e5b4e797afd0f30d99d29cd4528ed05aa3033
2025-06-05T23:20:37.8209131Z deleted: sha256:5d95865872910e38a0e8e3f09b81b756ba8c54222f143c9689442428b8740cb3
2025-06-05T23:20:37.8209753Z deleted: sha256:3b5fec8160755509da312743eb0cea8f103b41726900d113d7065c47c5e7f7f2
2025-06-05T23:20:37.8210377Z deleted: sha256:06fa530bb714ee05bd09360a4a8771e2701775b252ca9150ab383fafab5d4b54
2025-06-05T23:20:37.8211014Z deleted: sha256:3813b20b72e18dd88a094b4c0cf3d7e8e2918c0f4336311a6df1da78003ecfbf
2025-06-05T23:20:37.8211633Z deleted: sha256:e0851190295440f4714c58db4dc283d148eec4b0da2f9d4e58161f6f5567d00f
2025-06-05T23:20:37.8212272Z deleted: sha256:dc00feea82db0cf321846bc2ae1297b5419381a551dd5f219e07dd96a451ff5e
2025-06-05T23:20:37.8212923Z deleted: sha256:6df43b0bf4e70d14926d9432c1a2b4a643553a2f6520b02ff76c5028107604d1
2025-06-05T23:20:37.8213537Z deleted: sha256:aea536c92a7448471862a5441d0b0f61161944d2b673c3910b01624ce5954b67
2025-06-05T23:20:37.8214287Z deleted: sha256:157bb77183b7758734b83b9e7ed2c461fe3485703dc65c38d0b77fe54b6f6746
2025-06-05T23:20:37.8215103Z deleted: sha256:bb80166d4410f46deb56858f88f277bfc87b8c6f912d802aa80ac611299bc1d9
2025-06-05T23:20:37.8216184Z deleted: sha256:f862e1968e4b4c3c3af141e37d2ec22b19ec0fd50d6a8aaf683de6729e296226
2025-06-05T23:20:37.8216869Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-06-05T23:20:37.8217724Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-06-05T23:20:37.8218616Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec
2025-06-05T23:20:37.8219256Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116
2025-06-05T23:20:37.8219712Z 
2025-06-05T23:20:37.8219833Z Total reclaimed space: 13.93GB
2025-06-05T23:20:37.8256208Z ##[group]Run set +e
2025-06-05T23:20:37.8256499Z set +e
2025-06-05T23:20:37.8256734Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-06-05T23:20:37.8257203Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-06-05T23:20:37.8257550Z else
2025-06-05T23:20:37.8257820Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-06-05T23:20:37.8258139Z fi
2025-06-05T23:20:37.8258346Z set -e
2025-06-05T23:20:37.8268156Z shell: /usr/bin/bash -e {0}
2025-06-05T23:20:37.8268440Z env:
2025-06-05T23:20:37.8268684Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc9
2025-06-05T23:20:37.8269031Z   REPOSITORY: pytorch/executorch
2025-06-05T23:20:37.8269297Z   PR_NUMBER: 
2025-06-05T23:20:37.8271708Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

./install_requirements.sh --use-pt-pinned-commit
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="55584"
if [[ "$size" -le "$threshold" ]]; then
  echo "Success $size <= $threshold"
else
  echo "Fail $size > $threshold"
  exit 1
fi

2025-06-05T23:20:37.8274268Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-06-05T23:20:37.8274838Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-06-05T23:20:37.8275378Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-06-05T23:20:37.8275749Z   NO_SUDO: false
2025-06-05T23:20:37.8275970Z ##[endgroup]
2025-06-05T23:20:38.9726320Z Post job cleanup.
2025-06-05T23:20:39.0720506Z Post job cleanup.
2025-06-05T23:20:39.1637872Z [command]/usr/bin/git version
2025-06-05T23:20:39.1690942Z git version 2.47.1
2025-06-05T23:20:39.1730600Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/93457b2f-1db4-4582-8d83-2c9c977c16d6' before making global git config changes
2025-06-05T23:20:39.1731538Z Adding repository directory to the temporary git global config as a safe directory
2025-06-05T23:20:39.1735357Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-06-05T23:20:39.1765565Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-06-05T23:20:39.1792517Z [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' || :"
2025-06-05T23:20:39.2060669Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-06-05T23:20:39.2078335Z http.https://github.com/.extraheader
2025-06-05T23:20:39.2087378Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-06-05T23:20:39.2112498Z [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' || :"
2025-06-05T23:20:39.2412557Z A job completed hook has been configured by the self-hosted runner administrator
2025-06-05T23:20:39.2436904Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-06-05T23:20:39.2441978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-06-05T23:20:39.2442357Z ##[endgroup]
2025-06-05T23:20:45.9578571Z Cleaning up orphan processes